106 related articles for article (PubMed ID: 35785096)
21. Breast cancer histopathology image classification through assembling multiple compact CNNs.
Zhu C; Song F; Wang Y; Dong H; Guo Y; Liu J
BMC Med Inform Decis Mak; 2019 Oct; 19(1):198. PubMed ID: 31640686
[TBL] [Abstract][Full Text] [Related]
22. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
23. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
24. Breast cancer histopathological image classification using a hybrid deep neural network.
Yan R; Ren F; Wang Z; Wang L; Zhang T; Liu Y; Rao X; Zheng C; Zhang F
Methods; 2020 Feb; 173():52-60. PubMed ID: 31212016
[TBL] [Abstract][Full Text] [Related]
25. Convolutional Neural Network Based Breast Cancer Histopathology Image Classification.
Yamlome P; Akwaboah AD; Marz A; Deo M
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1144-1147. PubMed ID: 33018189
[TBL] [Abstract][Full Text] [Related]
26. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
27. A novel fused convolutional neural network for biomedical image classification.
Pang S; Du A; Orgun MA; Yu Z
Med Biol Eng Comput; 2019 Jan; 57(1):107-121. PubMed ID: 30003400
[TBL] [Abstract][Full Text] [Related]
28. Using autoencoders as a weight initialization method on deep neural networks for disease detection.
Ferreira MF; Camacho R; Teixeira LF
BMC Med Inform Decis Mak; 2020 Aug; 20(Suppl 5):141. PubMed ID: 32819347
[TBL] [Abstract][Full Text] [Related]
29. Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.
El Agouri H; Azizi M; El Attar H; El Khannoussi M; Ibrahimi A; Kabbaj R; Kadiri H; BekarSabein S; EchCharif S; Mounjid C; El Khannoussi B
BMC Res Notes; 2022 Feb; 15(1):66. PubMed ID: 35183227
[TBL] [Abstract][Full Text] [Related]
30. Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis.
Kosaraju SC; Hao J; Koh HM; Kang M
Methods; 2020 Jul; 179():3-13. PubMed ID: 32442672
[TBL] [Abstract][Full Text] [Related]
31. Representation learning for mammography mass lesion classification with convolutional neural networks.
Arevalo J; González FA; Ramos-Pollán R; Oliveira JL; Guevara Lopez MA
Comput Methods Programs Biomed; 2016 Apr; 127():248-57. PubMed ID: 26826901
[TBL] [Abstract][Full Text] [Related]
32. [Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].
Wang SZ; Wang JG; Lu Y; Zhang YJ; Xin FJ; Liu SL; Zhang XX; Liu GW; Li S; Sui D; Wang DS
Zhonghua Wai Ke Za Zhi; 2019 Dec; 57(12):934-938. PubMed ID: 31826599
[No Abstract] [Full Text] [Related]
33. Cervical cell classification with graph convolutional network.
Shi J; Wang R; Zheng Y; Jiang Z; Zhang H; Yu L
Comput Methods Programs Biomed; 2021 Jan; 198():105807. PubMed ID: 33130497
[TBL] [Abstract][Full Text] [Related]
34. Recognition of peripheral blood cell images using convolutional neural networks.
Acevedo A; Alférez S; Merino A; Puigví L; Rodellar J
Comput Methods Programs Biomed; 2019 Oct; 180():105020. PubMed ID: 31425939
[TBL] [Abstract][Full Text] [Related]
35. A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors.
Xie J; Song X; Zhang W; Dong Q; Wang Y; Li F; Wan C
Phys Med Biol; 2020 Dec; 65(24):. PubMed ID: 33120380
[TBL] [Abstract][Full Text] [Related]
36. Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.
Sharma H; Zerbe N; Klempert I; Hellwich O; Hufnagl P
Comput Med Imaging Graph; 2017 Nov; 61():2-13. PubMed ID: 28676295
[TBL] [Abstract][Full Text] [Related]
37. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
Zhang E; Seiler S; Chen M; Lu W; Gu X
Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
[TBL] [Abstract][Full Text] [Related]
38. Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network.
Sakai Y; Takemoto S; Hori K; Nishimura M; Ikematsu H; Yano T; Yokota H
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4138-4141. PubMed ID: 30441266
[TBL] [Abstract][Full Text] [Related]
39. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
40. Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network.
Kooi T; van Ginneken B; Karssemeijer N; den Heeten A
Med Phys; 2017 Mar; 44(3):1017-1027. PubMed ID: 28094850
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
