2023
DOI: 10.1016/j.eswa.2022.118945
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DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions

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Cited by 25 publications
(6 citation statements)
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“…Third, in this work we focused on the accuracy of the semantic segmentation provided by sixteen architectures derived from the original UNet. Further work could consider the segmentation and classification, not of tissue regions, but of specific cells (e.g., Tumor Infiltrating Lymphocytes [77], [78] ), or nuclei (e.g., [79], [80], [81], [82] ), which can provide further information to analyze cancer datasets. Further, by using the nuclei as a starting point, it is possible then determine the extent of cell and from there isolate and analyze other structures like extracellular matrix [83].…”
Section: Discussionmentioning
confidence: 99%
“…Third, in this work we focused on the accuracy of the semantic segmentation provided by sixteen architectures derived from the original UNet. Further work could consider the segmentation and classification, not of tissue regions, but of specific cells (e.g., Tumor Infiltrating Lymphocytes [77], [78] ), or nuclei (e.g., [79], [80], [81], [82] ), which can provide further information to analyze cancer datasets. Further, by using the nuclei as a starting point, it is possible then determine the extent of cell and from there isolate and analyze other structures like extracellular matrix [83].…”
Section: Discussionmentioning
confidence: 99%
“…Our developed architecture contains 3 blocks such as a robust bottleneck block, an attention decoder block and a residual block. Ahmad et al [24] presents a new spatial-channel attention-based altered UNet architecture with ResNet blocks in encoder layers. The UNet baseline preserves rough and fine features, thus verifying the solution to the tissue variability.…”
Section: Figure 1 Overall Flow Of Gtoadl-odhi Methodsmentioning
confidence: 99%
“…Prostate cancer is a major health concern among men, with an estimated one million new cases diagnosed each year worldwide [ 18 ]. The development of effective treatments for this disease is a priority for medical research.…”
Section: Literature Reviewmentioning
confidence: 99%