Peer-Reviewed Publication
Front Digit Health2026;81776155.January 1, 2026Journal Article

Adapting DeepLabV3+ for biopsy cervical cancer lesion segmentation.

Rose Nakasi1, Cosmas Wamozo2, Solomon Nsumba2, Benjamin Rukundo1, Tonny Okecha3, Byron Mubiru1, Chodrine Mutebi1
1Artificial Intelligence Health Lab, Department of Computer Science, Makerere University, Kampala, Uganda.
2Department of Computer Science, Makerere University, Kampala, Uganda.
3Department of Pathology, Uganda Cancer Institute, Kampala, Uganda.

Abstract

INTRODUCTION: Cervical cancer remains a leading cause of cancer mortality in resource-constrained settings, where access to advanced digital pathology equipment is severely limited. Automated histopathological image segmentation offers a potential pathway to improve diagnostic access, but practical solutions combining affordable hardware with robust deep learning remain underdeveloped. METHODS: W…

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