医学 AI - arXivDaily 专题

2310.15094 2023-10-24 cs.LG cs.AI 57%

One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images

Matheus del-Valle, Emerson Soares Bernardes, Denise Maria Zezell

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments 23 pages, 5 figures, 2 tables

2308.04131 2023-10-24 physics.optics eess.IV 57%

Single-shot experimental-numerical twin-image removal in lensless digital holographic microscopy

Piotr Arcab, Mikolaj Rogalski, Maciej Trusiak

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

2310.12769 2023-10-20 cs.CV 57%

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping

Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments The final authenticated publication is available online at https://doi.org/10.1007/978-3-031-45676-3_12

Journal ref Machine Learning in Medical Imaging. MLMI 2023. Lecture Notes in Computer Science, vol 14349, pp. 114-123. Cham: Springer Nature Switzerland

2310.12509 2023-10-20 cs.CV 57%

Machine Learning for Leaf Disease Classification: Data, Techniques and Applications

Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Garg

专题命中病理影像：pathology(abstract)；分类 cs.CV

Journal ref Artificial Intelligence Review 2023

2301.09861 2023-10-13 eess.IV stat.AP 57%

A convolutional neural network of low complexity for tumor anomaly detection

Vasileios E. Papageorgiou, Pantelis Dogoulis, Dimitrios-Panagiotis Papageorgiou

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

Comments This article has been accepted for publication in the 8th International Congress on Information and Communication Technology (ICICT 2023, Springer)

Journal ref Lecture Notes in Networks and Systems, vol 696. Springer (2023)

2310.06661 2023-10-11 cs.LG 57%

Tertiary Lymphoid Structures Generation through Graph-based Diffusion

Manuel Madeira, Dorina Thanou, Pascal Frossard

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

2310.04461 2023-10-10 cs.CV cs.AI 57%

AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy

Nils Friederich, Angelo Yamachui Sitcheu, Oliver Neumann, Süheyla Eroğlu-Kayıkçı, Roshan Prizak, Lennart Hilbert, Ralf Mikut

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

Comments Proceedings - 33. Workshop Computational Intelligence

2303.12214 2023-10-06 cs.CV 57%

Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted to MICCAI 2023 (Oral)

2310.02497 2023-10-05 cs.SD cs.LG eess.AS 57%

Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities

Robin Netzorg, Bohan Yu, Andrea Guzman, Peter Wu, Luna McNulty, Gopala Anumanchipalli

专题命中病理影像：pathology(abstract)；分类 cs.LG

2211.07384 2023-10-03 cs.CV 57%

Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification

Juan I. Pisula, Katarzyna Bozek

专题命中病理影像：pathology(abstract)；分类 cs.CV

2305.19402 2023-10-02 cs.CV cs.AI cs.CL 57%

Contextual Vision Transformers for Robust Representation Learning

Yujia Bao, Theofanis Karaletsos

专题命中病理影像：pathology(abstract)；分类 cs.CV

2309.11510 2023-09-22 cs.IR cs.AI cs.CV 57%

When is a Foundation Model a Foundation Model

Saghir Alfasly, Peyman Nejat, Sobhan Hemati, Jibran Khan, Isaiah Lahr, Areej Alsaafin, Abubakr Shafique, Nneka Comfere, Dennis Murphree, Chady Meroueh, Saba Yasir, Aaron Mangold, Lisa Boardman, Vijay Shah, Joaquin J. Garcia, H. R. Tizhoosh

专题命中病理影像：pathology(abstract)；分类 cs.CV

2309.08259 2023-09-18 cs.CV 57%

BROW: Better featuRes fOr Whole slide image based on self-distillation

Yuanfeng Wu, Shaojie Li, Zhiqiang Du, Wentao Zhu

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 14 pages including reference part, 6 figures

2306.08330 2023-09-12 cs.CV 57%

Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction

Yingxue Xu, Hao Chen

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments 11 pages, 4 figures, accepted by ICCV 2023

2308.04228 2023-08-30 eess.SP 57%

Proceedings of the first edition of the International Symposium on Computational Sensing (ISCS23)

Thomas Feuillen, Amirafshar Moshtaghpour

专题命中病理影像：biomedical(abstract)；分类 eess.SP

Comments This is the proceedings of the first edition of ISCS which took place in June 2023 in Luxembourg city. More info at ISCS2023.com

2308.13324 2023-08-28 cs.CV 57%

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments To be appeared in ICCV 2023

2307.03275 2023-08-23 cs.CV 57%

To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology

Tushar Kataria, Beatrice Knudsen, Shireen Elhabian

专题命中病理影像：pathology(abstract)；分类 cs.CV

2308.04020 2023-08-09 cs.CV 57%

Synthetic Augmentation with Large-scale Unconditional Pre-training

Jiarong Ye, Haomiao Ni, Peng Jin, Sharon X. Huang, Yuan Xue

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

Comments MICCAI 2023

2211.05308 2023-08-07 cs.CV 57%

Enhancing Clinical Support for Breast Cancer with Deep Learning Models using Synthetic Correlated Diffusion Imaging

Chi-en Amy Tai, Hayden Gunraj, Nedim Hodzic, Nic Flanagan, Ali Sabri, Alexander Wong

专题命中病理影像：MRI(abstract)；分类 cs.CV

2307.14398 2023-07-28 eess.IV cs.AI 57%

Non-Linear Self Augmentation Deep Pipeline for Cancer Treatment outcome Prediction

Francesco Rundo, Concetto Spampinato, Michael Rundo

专题命中病理影像：CT(abstract)；分类 eess.IV

2211.07876 2023-07-18 cs.CV 57%

Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision

Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim

专题命中病理影像：MRI(abstract)；分类 cs.CV

Comments Brain Tumor Sequence Registration challenge (BraTS-Reg 2022)

Journal ref International MICCAI Brainlesion Workshop (BrainLes 2022), pp. 273-282

2307.05889 2023-07-13 cs.CV 57%

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation

Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu

专题命中病理影像：pathology(abstract)；分类 cs.CV

2307.02308 2023-07-06 cs.CV 57%

Multi-Scale Prototypical Transformer for Whole Slide Image Classification

Saisai Ding, Jun Wang, Juncheng Li, Jun Shi

专题命中病理影像：pathology(abstract)；分类 cs.CV

2205.04038 2023-06-27 physics.med-ph eess.SP 57%

Quasi-Real Time Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for Prostate

Tajwar Abrar Aleef, Julio Lobo, Ali Baghani, Hani Eskandari, Hamid Moradi, Robert Rohling, S. Larry Goldenberg, William James Morris, S. Sara Mahdavi, Septimiu E. Salcudean

专题命中病理影像：pathology(abstract)；分类 eess.SP

Comments 10 pages, 8 figures. IEEE Transactions on Medical Imaging (2023)

2306.07831 2023-06-14 cs.CV 57%

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted to CVPR 2023

2305.20058 2023-06-01 cs.CV 57%

Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning

Imane Nedjar, Mohammed Brahimi, Said Mahmoudi, Khadidja Abi Ayad, Mohammed Amine Chikh

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

2305.15773 2023-05-26 cs.CV 57%

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification

Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

2304.10830 2023-04-24 cs.LG math.OC stat.AP 57%

Rolling Lookahead Learning for Optimal Classification Trees

Zeynel Batuhan Organ, Enis Kayış, Taghi Khaniyev

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments 41 pages, 19 tables, 10 figures

2304.09314 2023-04-20 cs.CV 57%

Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides

Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Journal ref [J]. Knowledge-Based Systems, 2023, 260: 110168

2209.06185 2023-04-07 cs.CV 57%

HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning

Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour

专题命中病理影像：pathology(abstract)；分类 cs.CV

1. 病理影像 3453 篇

One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images

Single-shot experimental-numerical twin-image removal in lensless digital holographic microscopy

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping

Machine Learning for Leaf Disease Classification: Data, Techniques and Applications

A convolutional neural network of low complexity for tumor anomaly detection

Tertiary Lymphoid Structures Generation through Graph-based Diffusion

AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy

Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities

Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification

Contextual Vision Transformers for Robust Representation Learning

When is a Foundation Model a Foundation Model

BROW: Better featuRes fOr Whole slide image based on self-distillation

Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction

Proceedings of the first edition of the International Symposium on Computational Sensing (ISCS23)

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology

Synthetic Augmentation with Large-scale Unconditional Pre-training

Enhancing Clinical Support for Breast Cancer with Deep Learning Models using Synthetic Correlated Diffusion Imaging

Non-Linear Self Augmentation Deep Pipeline for Cancer Treatment outcome Prediction

Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation

Multi-Scale Prototypical Transformer for Whole Slide Image Classification

Quasi-Real Time Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for Prostate

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification

Rolling Lookahead Learning for Optimal Classification Trees

Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides

HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning