医学 AI - arXivDaily 专题

2404.10548 2024-04-17 eess.IV cs.CV cs.LG 67%

Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks

Malte Rippa, Ruben Schulze, Marian Himstedt, Felice Burn

专题命中病理影像：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Previous version published in Buzug T.M., Handels H., Müller S., Hübner C., Mertins A., Rostalski P.: Student Conference Proceedings 2023, Infinite Science Publishing, 2023 (ISBN/EAN 978-3-945954-72-0). 7 pages, 2 figures

2403.08464 2024-03-14 eess.IV cs.CV cs.LG 67%

Diffusion Models with Implicit Guidance for Medical Anomaly Detection

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

2308.02851 2024-03-08 eess.IV cs.CV cs.LG 67%

Generative Adversarial Networks for Stain Normalisation in Histopathology

Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Updated to add link to full publication at https://doi.org/10.1007/978-3-031-46238-2_11

2106.00557 2024-03-06 cs.CV cs.LG eess.IV 67%

Towards Interpretable Attention Networks for Cervical Cancer Analysis

Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

专题命中病理影像：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Journal ref IEEE Engineering in Medicine & Biology Society (EMBC) 2021

2402.01509 2024-02-05 eess.IV cs.CV cs.LG 67%

Advancing Brain Tumor Inpainting with Generative Models

Ruizhi Zhu, Xinru Zhang, Haowen Pang, Chundan Xu, Chuyang Ye

专题命中病理影像：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

2401.11464 2024-01-23 eess.IV cs.CV cs.LG 67%

Task-specific regularization loss towards model calibration for reliable lung cancer detection

Mehar Prateek Kalra, Mansi Singhal, Rohan Raju Dhanakashirur

专题命中病理影像：CT(abstract)；分类 cs.CV、cs.LG、eess.IV

2301.13128 2024-01-09 eess.IV cs.CV cs.LG 67%

Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology

Nicolas Nerrienet, Rémy Peyret, Marie Sockeel, Stéphane Sockeel

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

2312.15972 2023-12-27 eess.IV cs.CV cs.LG 67%

A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels

Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted to IEEE Transactions on Medical Imaging

Journal ref IEEE Transactions on Medical Imaging, 41(12), Dec. 2022

2310.08365 2023-11-21 cs.CL 67%

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer

Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Oya Deniz Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

专题命中病理影像：diagnosis(abstract)；biomedical(abstract)

Comments arXiv admin note: substantial text overlap with arXiv:2302.04737

2311.03217 2023-11-16 eess.IV cs.CV cs.LG 67%

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data

Yiqiu Shen, Jungkyu Park, Frank Yeung, Eliana Goldberg, Laura Heacock, Farah Shamout, Krzysztof J. Geras

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments ML4H 2023 Findings Track

2311.08199 2023-11-15 eess.IV cs.CV cs.LG 67%

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Robert Harb, Thomas Pock, Heimo Müller

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

2310.03106 2023-10-06 eess.IV cs.CV cs.LG 67%

Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection

Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka Comfere, Aaron Mangold, Dennis Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, H. R. Tizhoosh

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 13 pages, 9 figures, 3 tables

2309.12193 2023-09-22 eess.IV cs.CV cs.LG 67%

Brain Tumor Detection Using Deep Learning Approaches

Razia Sultana Misu

专题命中病理影像：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Bachelor's thesis. Supervisor: Nushrat Jahan Ria

2308.09426 2023-08-21 cs.CV cs.LG eess.IV 67%

Self-Supervised Single-Image Deconvolution with Siamese Neural Networks

Mikhail Papkov, Kaupo Palo, Leopold Parts

专题命中病理影像：biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted for DALI @ MICCAI 2023

2308.03076 2023-08-08 eess.IV cs.CV cs.LG 67%

Study for Performance of MobileNetV1 and MobileNetV2 Based on Breast Cancer

Jiuqi Yan

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 5 pages,3 figures,CMLAI 2023

2308.03008 2023-08-08 eess.IV cs.CV cs.LG 67%

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis

Bowen Li, Yu-Cheng Chou, Shuwen Sun, Hualin Qiao, Alan Yuille, Zongwei Zhou

专题命中病理影像：CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Big Task Small Data, 1001-AI, MICCAI Workshop, 2023

2307.13199 2023-07-26 eess.IV cs.CV cs.LG 67%

An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO

Kimia Hemmatirad, Morteza Babaie, Jeffrey Hodgin, Liron Pantanowitz, H. R. Tizhoosh

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

1911.02265 2023-07-18 cs.CV cs.LG eess.IV 67%

Predictive modeling of brain tumor: A Deep learning approach

Priyansh Saxena, Akshat Maheshwari, Saumil Maheshwari

专题命中病理影像：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments This work is part of the conference proceeding 'Proceedings of the International Conference on Artificial Intelligence' and can be accessed at https://link.springer.com/chapter/10.1007/978-981-15-6067-5_30

2307.07503 2023-07-17 eess.IV cs.CV cs.LG 67%

Brain Tumor Detection using Convolutional Neural Networks with Skip Connections

Aupam Hamran, Marzieh Vaeztourshizi, Amirhossein Esmaili, Massoud Pedram

专题命中病理影像：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

2304.08715 2023-07-14 eess.IV cs.CV cs.LG 67%

EfficientNet Algorithm for Classification of Different Types of Cancer

Romario Sameh Samir

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments This article is accepted by Artificial Intelligence and Applications (AIA, ISSN: 2811-0854), 2023

2305.13333 2023-05-24 eess.IV cs.CV cs.LG 67%

Evaluating LeNet Algorithms in Classification Lung Cancer from Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases

Jafar Abdollahi

专题命中病理影像：CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments arXiv admin note: text overlap with arXiv:2106.11342 by other authors

2304.08106 2023-05-17 eess.IV cs.CV cs.LG 67%

Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients

Angel Victor Juanco Muller, Joao F. C. Mota, Keith A. Goatman, Corne Hoogendoorn

专题命中病理影像：CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Published by Springer as part of the HECKTOR 2022 challenge proccedings https://link.springer.com/chapter/10.1007/978-3-031-27420-6_18

2210.03151 2023-05-09 eess.IV cs.CV cs.LG 67%

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)

Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav, Matthew Kelsey, Pamela LaMontagne, John Wood, Michael Adams, Yuzhuo Su, Sherry Thorpe, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus

专题命中病理影像：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

2304.08498 2023-04-19 eess.IV cs.AI cs.CV cs.LG 67%

Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology

Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, H. R. Tizhoosh

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Under Review for publication

2303.10730 2023-03-21 eess.IV cs.CV cs.LG 67%

Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage

Bonaventure F. P. Dossou, Yenoukoume S. K. Gbenou, Miglanche Ghomsi Nono

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted at Machine Learning for Global Health Workshop, ICLR 2023

2212.11375 2023-03-20 eess.IV cs.CV cs.LG 67%

Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images

Jorge F. Lazo, Benoit Rosa, Michele Catellani, Matteo Fontana, Francesco A. Mistretta, Gennaro Musi, Ottavio de Cobelli, Michel de Mathelin, Elena De Momi

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Title and abstract updated. Typos corrected

2302.05830 2023-02-14 eess.IV cs.CV cs.LG 67%

NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models

Yashvir Sabharwal

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 22 pages, 5 figures, 2 tables

2206.03698 2023-02-09 cs.CV cs.LG eess.IV 67%

What do we learn? Debunking the Myth of Unsupervised Outlier Detection

Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

2301.13151 2023-01-31 eess.IV cs.CV cs.LG 67%

Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study

Remy Peyret, Duaa alSaeed, Fouad Khelifi, Nadia Al-Ghreimil, Heyam Al-Baity, Ahmed Bouridane

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Journal ref JMIR Bioinform Biotech 2022

2301.09525 2023-01-24 eess.IV cs.CV cs.LG 67%

DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis

Nima Hatami

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments arXiv admin note: substantial text overlap with arXiv:2104.00669

1. 病理影像 3448 篇

Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks

Diffusion Models with Implicit Guidance for Medical Anomaly Detection

Generative Adversarial Networks for Stain Normalisation in Histopathology

Towards Interpretable Attention Networks for Cervical Cancer Analysis

Advancing Brain Tumor Inpainting with Generative Models

Task-specific regularization loss towards model calibration for reliable lung cancer detection

Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology

A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection

Brain Tumor Detection Using Deep Learning Approaches

Self-Supervised Single-Image Deconvolution with Siamese Neural Networks

Study for Performance of MobileNetV1 and MobileNetV2 Based on Breast Cancer

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis

An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO

Predictive modeling of brain tumor: A Deep learning approach

Brain Tumor Detection using Convolutional Neural Networks with Skip Connections

EfficientNet Algorithm for Classification of Different Types of Cancer

Evaluating LeNet Algorithms in Classification Lung Cancer from Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases

Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)

Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology

Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage

Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images

NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models

What do we learn? Debunking the Myth of Unsupervised Outlier Detection

Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study

DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis