Výsledky vyhledávání - "Yuanpin Zhou"

Akademický článek

Generating Full-Field Digital Mammogram From Digitized Screen-Film Mammogram for Breast Cancer Screening With High-Resolution Generative Adversarial Network

Autor: Yuanpin Zhou, Jun Wei, Dongmei Wu, Yaqin Zhang

Publikováno v: Frontiers in Oncology, Vol 12 (2022)

PurposeDeveloping deep learning algorithms for breast cancer screening is limited due to the lack of labeled full-field digital mammograms (FFDMs). Since FFDM is a new technique that rose in recent decades and replaced digitized screen-film mammogram

Externí odkaz: https://doaj.org/article/6747c9f2cbf04086ab64ec8e1d45b7b3

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Multi‐scale cascaded networks for synthesis of mammogram to decrease intensity distortion and increase model‐based perceptual similarity

Autor: Gongfa, Jiang, Zilong, He, Yuanpin, Zhou, Jun, Wei, Yuesheng, Xu, Hui, Zeng, Jiefang, Wu, Genggeng, Qin, Weiguo, Chen, Yao, Lu

Publikováno v: Medical Physics. 50:837-853

Synthetic digital mammogram (SDM) is a 2D image generated from digital breast tomosynthesis (DBT) and used as a substitute for a full-field digital mammogram (FFDM) to reduce the radiation dose for breast cancer screening. The previous deep learning-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c1fbb358de62cc680066384c8181c3f
https://doi.org/10.1002/mp.16007

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Multiple Instance Learning with Task-Specific Multi-Level Features for Weakly Annotated Histopathological Image Classification

Autor: Yuanpin Zhou, Yao Lu

Publikováno v: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5db1e2d78499af1a7fd8f84773fe376c
https://doi.org/10.1109/icassp43922.2022.9747121

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Deep Hierarchical Multiple Instance Learning for Whole Slide Image Classification

Autor: Yuanpin Zhou, Yao Lu

Publikováno v: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::224ee4024c66112bc96ebe84c846449e
https://doi.org/10.1109/isbi52829.2022.9761678

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Akademický článek

Multi-scale cascaded networks for synthesis of mammogram to decrease intensity distortion and increase model-based perceptual similarity.

Autor: Gongfa Jiang, Zilong He, Yuanpin Zhou, Jun Wei, Yuesheng Xu, Hui Zeng, Jiefang Wu, Genggeng Qin, Weiguo Chen, Yao Lu

Publikováno v: Medical Physics; Feb2023, Vol. 50 Issue 2, p837-853, 17p

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Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting

Autor: Yuanpin Zhou, Hui Zeng, Yao Lu, Guanxiong Cai, Weiguo Chen, Yanhui Guo

Publikováno v: Multimedia Tools and Applications. 79:17147-17167

Computer-aided detection (CADe) and diagnosis (CADx) system of mammographic microcalcification clusters (MCCs) is built for helping human observers to find suspicious areas of MCC and providing risk predictions of malignancy as a reference, since it

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4ee2bd163429b8c76c853c52ca6f6e7
https://doi.org/10.1007/s11042-019-7726-x

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Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial network

Autor: Lubomir M. Hadjiiski, Yuanpin Zhou, Yao Lu, Mark A. Helvie, Jun Wei, Chuan Zhou, Heang Ping Chan

Publikováno v: Medical Imaging 2020: Computer-Aided Diagnosis.

Deep-learning based application for digital mammography screening is limited due to lack of labeled data. Generating digital mammogram (DM) from existing labeled digitized screen-film mammogram (DFM) dataset is one approach that may alleviate the pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::52f6b042e9e56ea86f347947dc5c0e45
https://doi.org/10.1117/12.2551278

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Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network

Autor: Yuanpin Zhou, Guanxiong Cai, Hui Zeng, Weiguo Chen, Yao Lu, Yanhui Guo

Publikováno v: Medical Imaging: Computer-Aided Diagnosis

Breast cancer is presently one of the most common cancer among women and has high morbidity and mortality worldwide. The emergence of microcalcifications (MCs) is an important early sign of breast cancer. In this study, a computer-aided detection and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03c51f2fd3c722d152f689de35cfd30c
https://doi.org/10.1117/12.2512355

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Neutrosophic set-based deep learning in mammogram analysis

Autor: Yao Lu, Weiguo Chen, Yanhui Guo, Guanxiong Cai, Yuanpin Zhou, Hui Zeng

In asymptomatic women, the early detection of breast cancer (BC) using digital mammography is considered one of the most effective tools to reduce the morbidity and mortality associated with BC. One of the important signs of BC at each early stage is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34d0f0f2f802fb0e0c40a2974bd83905
https://doi.org/10.1016/b978-0-12-818148-5.00014-x

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