ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...
ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...
Marion Weiss and Michael Manfredi, married partners, discover expressive possibilities by sculpting landscapes that shape buildings. Architect partners Marion Weiss and Michael Manfredi in Hunter’s ...
Background: Despite advances in immunotherapy, durable responses in lung cancer remain limited to a subset of patients, underscoring the need for biomarkers capturing spatial immune-tumor interactions ...
Abstract: This paper introduces a physics-based intermediate estimate as input to the Attention-Unet (ATTN-Unet) architecture for solving the electromagnetic inverse scattering problem in microwave ...
This project implements a machine learning model based on the UNet architecture for nuclei instance segmentation. It was developed as part of a university project. Nuclei instance segmentation plays a ...
Abstract: In recent years, medical image analysis, particularly neuroimaging, has experienced remarkable advancements, with Magnetic Resonance Imaging (MRI) greatly helping in diagnosing complex ...
Crop classification is a key task in remote sensing, supporting agricultural monitoring, food security, and ecological management (Ding et al., 2023; Gentry et al., 2025). The Gaofen-1 (GF-1) ...
For a detailed project overview, architecture diagrams, code explanations, and next steps, please refer to the full write‑up (PDF): ├─ ETL/ # Data extraction & mask generation utilities ├─ dataset.py ...
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