8 citations · 27 across the 22 of their papers we have counts for
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eess.IV2019★ 8 cited
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response
Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise
Cell shape analysis is important in biomedical research. Deep learning methods may perform to segment individual cells if they use sufficient training data that the boundary of eac…
cs.CV2019★ 7 cited
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa +1
Automated digital histopathology image segmentation is an important task to help pathologists diagnose tumors and cancer subtypes. For pathological diagnosis of cancer subtypes, pa…