A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning

5 November 2020

Papers citing "A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning"

26 / 26 papers shown

Title
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Shahad Albastaki Anabia Sohail I. I. Ganapathi B. Alawode Asim Khan Sajid Javed N. Werghi Mohammed Bennamoun Arif Mahmood 66 0 0 26 Apr 2025
Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data Ekaterina Redekop Mara Pleasure Vedrana Ivezić Zichen Wang Kimberly Flores Anthony Sisk W. Speier C. Arnold MedIm 33 0 0 15 Apr 2025
TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound Mohamed Harmanani P. Wilson Minh Nguyen Nhat To Mahdi Gilany A. Jamzad Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi P. Mousavi ViT MedIm 46 0 0 20 Feb 2025
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology Susu Sun Leslie Tessier Frédérique Meeuwsen Clément Grisi Dominique van Midden G. Litjens Christian F. Baumgartner 24 2 0 06 Jan 2025
PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis Zak Buzzard Konstantin Hemker Nikola Simidjievski M. Jamnik MedIm 56 0 0 27 Nov 2024
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions Jun Wang Yu Mao Nan Guan Chun Jason Xue 27 3 0 18 Aug 2024
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks Victor Ibanez P. Szostak Quincy Wong Konstanty Korski Samaneh Abbasi-Sureshjani Alvaro Gomariz 22 0 0 22 Mar 2024
Adversary-Robust Graph-Based Learning of WSIs Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD AAML 27 0 0 21 Mar 2024
$CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images$ CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images Hadar Hezi Matan Gelber Alexander Balabanov Y. Maruvka Moti Freiman 23 3 0 29 Jan 2024
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification Bodong Zhang Hamid Manoochehri M. M. Ho Fahimeh Fooladgar Yosep Chong Beatrice S. Knudsen Deepika Sirohi Tolga Tasdizen 32 4 0 12 Dec 2023
Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification Renao Yan Qiehe Sun Cheng Jin Yiqing Liu Yonghong He Tian Guan Hao Chen 35 8 0 09 Dec 2023
Towards Hierarchical Regional Transformer-based Multiple Instance Learning Josef Cersovsky Sadegh Mohammadi Dagmar Kainmueller Johannes Hoehne ViT MedIm 9 3 0 24 Aug 2023
Context-Aware Self-Supervised Learning of Whole Slide Images Milan Aryal Nasim Yahya Soltani 14 5 0 07 Jun 2023
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images Olga Fourkioti Matt De Vries Chris Bakal 30 4 0 09 May 2023
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning R. Mokhtari A. Hamidinekoo D. Sutton A. Lewis B. Angermann ... E. Khan D. Marks N. Khachapuridze Talha Qaiser Nikolay Burlutskiy 18 5 0 20 Mar 2023
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images Ramin Nakhli Puria Azadi Moghadam Haoyang Mi H. Farahani Alexander S. Baras B. Gilks A. Bashashati MedIm ViT 22 17 0 01 Mar 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification Conghao Xiong Hao Chen Joseph J. Y. Sung Irwin King MedIm 21 36 0 19 Jan 2023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images Ziyu Su Mostafa Rezapour Usama Sajjad M. Gürcan M. Niazi 20 11 0 18 Jan 2023
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology Syed Ashar Javed Dinkar Juyal Harshith Padigela A. Taylor-Weiner Limin Yu Aaditya (Adi) Prakash 19 62 0 03 Jun 2022
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations Bangwei Guo Xingyu Li Miao Yang Hong Zhang Xuesong Xu MedIm 11 8 0 31 May 2022
A review of machine learning approaches, challenges and prospects for computational tumor pathology Liangrui Pan Zhichao Feng Shaoliang Peng AI4CE 19 7 0 31 May 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images Kevin Thandiackal Boqi Chen Pushpak Pati Guillaume Jaume Drew F. K. Williamson M. Gabrani O. Goksel 20 43 0 26 Apr 2022
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning Jiatai Lin Guoqiang Han Xipeng Pan Hao Chen Danyi Li ... Haiming Li C. Liang Li Liang Zaiyi Liu Chu Han 20 33 0 04 Nov 2021
Nested Multiple Instance Learning with Attention Mechanisms Saul Fuster T. Eftestøl K. Engan 19 9 0 01 Nov 2021
Efficient Classification of Very Large Images with Tiny Objects Fanjie Kong Ricardo Henao 13 34 0 04 Jun 2021
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification Yixin Li Xinran Wu Chen Li Changhao Sun M. Rahaman Hao Chen Yudong Yao Xiaoyan Li Yong Zhang Tao Jiang 24 24 0 21 Feb 2021