I. Introduction
Medical image analysis with Computer-aided tools primarily emphasizes two objectives: segmentation and diagnosis. The overarching goal of Semantic Segmentation involves dividing an image into distinct, non-overlapping regions [1]. This process combines pixels with similar characteristics. In medical imaging, the emphasis typically shifts to identifying certain areas of interest, such as tumor regions or various organs. This selective segmentation is crucial as it allows healthcare professionals to concentrate on the most relevant sections of complex multimodal medical images. Moreover, the segmented images often serve as a basis for extracting various features, which are instrumental in the diagnostic process.