Kenji Harada

1 Introduction Sarcopenic obesity, defined as the coexistence of sarcopenia and obesity, is characterized by reduced muscle mass and impaired muscle function [1, 2]. Its prevalence is rising with population ageing [3] and has been linked to adverse health outcomes [4], including reduced quality of life [5], higher risk of falls [6] and worsening metabolic disorders [7].

AI artificial intelligence BCSS breast cancer semantic segmentation CAMELYON cancer metastases challenge on lymph nodes CNN convolutional neural network FPN feature pyramid network GPU graphics processing unit GT ground truth H&E hematoxylin and eosin HPA human protein atlas HuBMAP human biomolecular atlas program IoU intersection over union PSPNet pyramid scene parsing network 1 Introduction The advent of artificial intelligence (AI) in healthcare has significantly transformed numerous...

Abstract Artificial intelligence (AI) has transformed medical imaging, driving advancements in radiology and endoscopy. Semantic segmentation, a pixel-level technique crucial for delineating pathological features, has become a cornerstone of digital pathology. Pathology segmentation AI models are often trained using annotations generated by pathologists. Despite the meticulous care typically exercised, these annotations frequently contain empirical label noise.