Abstract: This study introduces a method for material classification using transient histograms obtained via a single-photon avalanche diode (SPAD) sensor. Temporal resolution in optical sensing plays ...

No matter what type(s) of photography you like to pursue, mastering exposure is key to creating successful images. While it can be tempting to use your camera's screen to judge exposure, that display ...

Research shows that sex differences play a substantial role in health and disease progression. To improve basic and translational science and address the existing gap for women’s health research, ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

Abstract: Brain malignant growth detection is eased using medical images and machine learning paradigms. This article introduces a differential region-based segmentation method to improve brain tumor ...

This project evaluates 6 Explainable AI (XAI) methods in the context of semantic segmentation for autonomous driving. The evaluation is divided into three phases: Phase 1: Model application using ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...

Pytorch implementation of Final Degree Thesis "Diffusion Model Based Brain Tumor Segmentation Enhanced With Inpainting Method". The code of the repository is adapted from the paper Diffusion Models ...