High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models-Reference-Cited by-同舟云学术

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High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models

Published:2010-08 Issue:4 Volume:14 Page:617-629
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Monaco James P.,Tomaszewski John E.,Feldman Michael D.,Hagemann Ian,Moradi Mehdi,Mousavi Parvin,Boag Alexander,Davidson Chris,Abolmaesumi Purang,Madabhushi Anant

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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4. A deep learning network for Gleason grading of prostate biopsies using EfficientNet;Biomedical Engineering / Biomedizinische Technik;2022-11-04

5. A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis;Archives of Computational Methods in Engineering;2021-04-27

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