Multi Instance Learning | List of Frontiers open access articles

Original Research

Published on 05 Jul 2024

Deep learning-enabled classification of kidney allograft rejection on whole slide histopathologic images

in Alloimmunity and Transplantation

Yongrong Ye
Liubing Xia
Shicong Yang
You Luo
Zuofu Tang
Yuanqing Li
Lanqing Han
Hanbin Xie
Yong Ren
Ning Na

Frontiers in Immunology

doi 10.3389/fimmu.2024.1438247

4,328 views
6 citations

Original Research

Published on 06 Jun 2025

A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions

in Gastrointestinal and Hepatic Pharmacology

Fanglei Fu
Xuemei Zhang
Zhaoxuan Wang
Luxi Xie
Mingxi Fu
Jing Peng
Jianfeng Wu
Zhe Wang
Tian Guan
Yonghong He

Frontiers in Pharmacology

doi 10.3389/fphar.2025.1592950

3,075 views
2 citations

Original Research

Published on 03 Jan 2025

Protein-ligand binding affinity prediction using multi-instance learning with docking structures

in Experimental Pharmacology and Drug Discovery

Hyojin Kim
Heesung Shim
Aditya Ranganath
Stewart He
Garrett Stevenson
Jonathan E. Allen

Frontiers in Pharmacology

doi 10.3389/fphar.2024.1518875

5,820 views
6 citations

Original Research

Published on 14 Apr 2022

Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning

in Breast Cancer

Hong Liu
Wen-Dong Xu
Zi-Hao Shang
Xiang-Dong Wang
Hai-Yan Zhou
Ke-Wen Ma
Huan Zhou
Jia-Lin Qi
Jia-Rui Jiang
Li-Lan Tan

Frontiers in Oncology

doi 10.3389/fonc.2022.858453

8,030 views
25 citations

Original Research

Published on 29 Aug 2024

Weakly supervised large-scale pancreatic cancer detection using multi-instance learning

in Cancer Imaging and Image-directed Interventions

Shyamapada Mandal
Keerthiveena Balraj
Hariprasad Kodamana
Chetan Arora
Julie M. Clark
David S. Kwon
Anurag S. Rathore

Frontiers in Oncology

doi 10.3389/fonc.2024.1362850

3,667 views
3 citations

Methods

Published on 28 Sep 2022

HRD-MILN: Accurately estimate tumor homologous recombination deficiency status from targeted panel sequencing data

in Cancer Genetics and Oncogenomics

Xuwen Wang
Ying Xu
Yinbin Zhang
Shenjie Wang
Xuanping Zhang
Xin Yi
Shuqun Zhang
Jiayin Wang

Frontiers in Genetics

doi 10.3389/fgene.2022.990244

5,661 views
6 citations

Original Research

Published on 11 Dec 2024

Weakly supervised learning in thymoma histopathology classification: an interpretable approach

in Pathology

Chunbao Wang
Xianglong Du
Xiaoyu Yan
Xiali Teng
Xiaolin Wang
Zhe Yang
Hongyun Chang
Yangyang Fan
Caihong Ran
Jie Lian

Frontiers in Medicine

doi 10.3389/fmed.2024.1501875

2,499 views
4 citations

Original Research

Published on 11 Apr 2022

DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection

in Human and Medical Genomics

Ying Xu
Xinyang Qian
Xuanping Zhang
Xin Lai
Yuqian Liu
Jiayin Wang

Frontiers in Genetics

doi 10.3389/fgene.2022.860510

5,265 views
24 citations

Correction

Published on 24 Jul 2025

Correction: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions

in Gastrointestinal and Hepatic Pharmacology

Fanglei Fu
Xuemei Zhang
Zhaoxuan Wang
Luxi Xie
Mingxi Fu
Jing Peng
Jianfeng Wu
Zhe Wang
Tian Guan
Yonghong He

Frontiers in Pharmacology

doi 10.3389/fphar.2025.1666330

934 views

Original Research

Accepted on 13 Feb 2026

A Foundation Model‑Based Multi-instance Learning Framework for Accurate Prediction of Lymph Node Metastasis in Prostate Cancer from Whole Slide Images

in Genitourinary Oncology

Zeng Guang
Weiwei Li
Haonan Mei
Ran Du

Frontiers in Oncology

161 views

Original Research

Published on 30 Apr 2024

MAMILNet: advancing precision oncology with multi-scale attentional multi-instance learning for whole slide image analysis

in Cancer Imaging and Image-directed Interventions

Qinqing Wang
Qiu Bi
Linhao Qu
Yuchen Deng
Xianhong Wang
Yijun Zheng
Chenrong Li
Qingyin Meng
Kun Miao

Frontiers in Oncology

doi 10.3389/fonc.2024.1275769

3,511 views
4 citations

Original Research

Published on 31 Mar 2025

A weakly supervised deep learning framework for automated PD-L1 expression analysis in lung cancer

in Cancer Immunity and Immunotherapy

Feng Jiao
Zhanxian Shang
Hongmin Lu
Peilin Chen
Shiting Chen
Jiayi Xiao
Fuchuang Zhang
Dadong Zhang
Chunxin Lv
Yuchen Han

Frontiers in Immunology

doi 10.3389/fimmu.2025.1540087

3,502 views
4 citations

Original Research

Published on 08 Jul 2025

Development and validation of a deep learning-based pathomics signature for prognosis and chemotherapy benefits in colorectal cancer: a retrospective multicenter cohort study

in Cancer Immunity and Immunotherapy

Shenghan Lou
Yanming Huang
Fenqi Du
Jingmin Xue
Genshen Mo
Hao Li
Zhanjiang Yu
Yuanchun Li
Hang Wang
Yuze Huang

Frontiers in Immunology

doi 10.3389/fimmu.2025.1602909

4,777 views
1 citation

Methods

Published on 15 Aug 2024

SAFE-MIL: a statistically interpretable framework for screening potential targeted therapy patients based on risk estimation

in Computational Genomics

Yanfang Guan
Zhengfa Xue
Jiayin Wang
Xinghao Ai
Rongrong Chen
Xin Yi
Shun Lu
Yuqian Liu

Frontiers in Genetics

doi 10.3389/fgene.2024.1381851

2,089 views
1 citation

Original Research

Published on 11 Jun 2025

Artificial intelligence-based model for diagnosing Helicobacter pylori in whole-slide images

in Pathology

Kehan Teng
Lihua Ren
Xiaoyu Yan
Yawei Duan
Zhe Chen
Hansheng Li
Lihua Zhang
Lei Cui

Frontiers in Medicine

doi 10.3389/fmed.2025.1594614

4,398 views
1 citation

Original Research

Published on 20 Sep 2024

Whole slide image-based weakly supervised deep learning for predicting major pathological response in non-small cell lung cancer following neoadjuvant chemoimmunotherapy: a multicenter, retrospective, cohort study

in Cancer Immunity and Immunotherapy

Dan Han
Hao Li
Xin Zheng
Shenbo Fu
Ran Wei
Qian Zhao
Chengxin Liu
Zhongtang Wang
Wei Huang
Shaoyu Hao

Frontiers in Immunology

doi 10.3389/fimmu.2024.1453232

7,447 views
9 citations

Articles

Deep learning-enabled classification of kidney allograft rejection on whole slide histopathologic images

A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions

Protein-ligand binding affinity prediction using multi-instance learning with docking structures

Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning

Weakly supervised large-scale pancreatic cancer detection using multi-instance learning

HRD-MILN: Accurately estimate tumor homologous recombination deficiency status from targeted panel sequencing data

Weakly supervised learning in thymoma histopathology classification: an interpretable approach

DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection

Correction: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions

A Foundation Model‑Based Multi-instance Learning Framework for Accurate Prediction of Lymph Node Metastasis in Prostate Cancer from Whole Slide Images

MAMILNet: advancing precision oncology with multi-scale attentional multi-instance learning for whole slide image analysis

A weakly supervised deep learning framework for automated PD-L1 expression analysis in lung cancer

Development and validation of a deep learning-based pathomics signature for prognosis and chemotherapy benefits in colorectal cancer: a retrospective multicenter cohort study

SAFE-MIL: a statistically interpretable framework for screening potential targeted therapy patients based on risk estimation

Artificial intelligence-based model for diagnosing Helicobacter pylori in whole-slide images

Whole slide image-based weakly supervised deep learning for predicting major pathological response in non-small cell lung cancer following neoadjuvant chemoimmunotherapy: a multicenter, retrospective, cohort study