MANS-Net: Multiple Attention-Based Nuclei Segmentation in Multi Organ Digital Cancer Histopathology Images

The segmentation of nuclei is critical in histopathology investigations. The segmentation of images of nuclei is difficult in variable clinical conditions. Some deep learning methods were recently proposed; however, these approaches rarely provide solutions to clinical challenges. Since most of the...

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Bibliografiset tiedot

Päätekijät:	Ibtihaj Ahmad, Zain Ul Islam, Saleem Riaz, Fuzhong Xue
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Nuclei segmentation histology segmentation attention transformer cancer segmentation histopathology segmentation
Linkit:	https://ieeexplore.ieee.org/document/10758637/
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