An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets

Research article (Computerized Medical Imaging and Graphics, 2019) · cited 50× · AI/ML
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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets

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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-investigation-of-cnn-models-for-differentiating-malignant-from-benign-lesions-using-small-pathologically-proven-datas
MLA “An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-investigation-of-cnn-models-for-differentiating-malignant-from-benign-lesions-using-small-pathologically-proven-datas.
BibTeX @misc{4ortxyz_an-investigation-of-cnn-models-for-differentiating-malignant-from-benign-lesions-using-small-pathologically-proven-datas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets}}, year = {2026}, url = {https://4ort.xyz/entity/an-investigation-of-cnn-models-for-differentiating-malignant-from-benign-lesions-using-small-pathologically-proven-datas}, note = {Accessed: 2026-05-24}}
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