A novel spatial neighborhood intensity constraint (SNIC) and knowledge-based clustering framework for breast tumor region segmentation are proposed in this ...

May 1, 2022 · The main purposes of this study are to propose a robust segmentation framework that could produce repeatable, reproducible, and cost-effective ...

Mar 9, 2022 · The main purposes of this study are to propose a robust segmentation framework that could produce repeatable, reproducible, and cost-effective ...

Spatial neighborhood intensity constraint (SNIC) and knowledge-based clustering framework for tumor region segmentation in breast histopathology images.

Mar 25, 2021 · The proposed framework consists of five main stages: (1) color normalization, (2) segmentation and removal of nucleus cells, (3) SNIC, (4) FCM ...

Spatial neighborhood intensity constraint (SNIC) and knowledge-based clustering framework for tumor region segmentation in breast histopathology images.

Nov 7, 2023 · The CADx systems can extract and analyze features in segmented images and use classifiers to measure and distinguish between benignity and ...

Spatial neighborhood intensity constraint (SNIC) and knowledge-based clustering framework for tumor region segmentation in breast histopathology images.

Apr 25, 2024 · ... neighborhood intensity constraint (SNIC) and knowledge-based clustering framework for tumor region segmentation in breast histopathology images.

A spatial neighborhood intensity constraint (SNIC) clustering framework for tumor region in breast histopathology images is presented and outperformed the ...