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Author

Yessica Nataliani

2 papers indexed here

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Conference Open access Sep 2026

Lightweight Breast Cancer Histopathological Image Classification Using a Fuzzy-Enhanced Mobilenet Architecture

Breast cancer is one of the most common cancers in women and requires early, accurate diagnosis to improve the chances of cure. Histopathology image analysis plays a crucial role in diagnosis, but manual interpretation by pathologists is time-consuming and complex. Various deep learning approaches, particularly Convolu...

Iis Setiawan Mangkunegara, Yessica Nataliani, Ivanna K. Timotius · 0 citations
Conference Sep 2026

Non-Anthropometric Childhood Obesity Risk Screening in Indonesia: An Explainable Machine Learning Approach

Obesity in children aged 5–12 years is a pressing public health challenge in Indonesia, where Riskesdas 2018 reported a combined overweight and obesity prevalence of about 20%. This study presents an explainable AI framework as a proof of concept for screening childhood obesity risk from non-anthropometric features, in...

Rinna Rachmatika, Yessica Nataliani, Radius Tanone et al. · 0 citations

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