A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning-Reference-Cited by-同舟云学术

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A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Wu Jialun,Zhang Ruonan,Gong Tieliang,Bao Xinrui,Gao Zeyu,Zhang Haichuan,Wang Chunbao,Li Chen

Funder

National Natural Science Foundation of China

Chinese Academy of Engineering

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669870.pdf?arnumber=9669870

Reference26 articles.

1. High-accuracy prostate cancer pathology using deep learning

2. Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

3. Review The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge

4. Hematoxylin and Eosin Staining of Tissue and Cell Sections

5. Toward a Shared Vision for Cancer Genomic Data

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1. CAF-AHGCN: context-aware attention fusion adaptive hypergraph convolutional network for human-interpretable prediction of gigapixel whole-slide image;The Visual Computer;2024-02-13

2. Kidney Tumor Segmentation and Grade Identification in CT Images;2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP);2023-10-26

3. An Automated Method of 3D Facial Soft Tissue Landmark Prediction Based on Object Detection and Deep Learning;Diagnostics;2023-05-25

4. Survey of Recent Deep Neural Networks with Strong Annotated Supervision in Histopathology;Computation;2023-04-14

5. BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images;Knowledge-Based Systems;2022-09

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