Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach-Reference-Cited by-同舟云学术

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Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach

Published:2013 Issue:2 Volume:4 Page:12
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:J Pathol Inform

Author:

Irshad Humayun,Jalali Sepehr,Roux Ludovic,Racoceanu Daniel,Naour GillesLe,Hwee LimJoo,Capron Frédérique

Publisher

Medknow

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Cited by 64 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of Digital Pathology in Cancer: A Comprehensive Review;Annual Review of Cancer Biology;2024-06-12

2. Efficient mitosis detection: leveraging pre-trained faster R-CNN and cell-level classification;Biomedical Physics & Engineering Express;2024-02-15

3. A novel dilated contextual attention module for breast cancer mitosis cell detection;Frontiers in Physiology;2024-01-25

4. A survey on cancer detection via convolutional neural networks: Current challenges and future directions;Neural Networks;2024-01

5. Improved DeepMitosisNet framework for detection of mitosis in histopathology images;Multimedia Tools and Applications;2023-10-16

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