python train ... is used to interpolate voxel sizes in rescaling so that all inputs can be resized to 1 mm^3. NOTE: test.py is not fully debugged and functional. If needed please open an issue.

HAM10000 Skin Cancer Classification and Segmentation Overview This project implements a deep learning pipeline for classifying and segmenting skin lesions using the HAM10000 dataset. The ...

Scikit-Image is a Python library that offers tools for image processing and computer vision tasks like segmentation, filtering, feature extraction, and more. It is built on top of NumPy and SciPy ...

The purpose of Motion Smoothing is to interpolate images in footage shot at 24 FPS in order to reduce blur and juddering. This can be beneficial when watching sports because live television is ...

Abstract: The scarcity of annotations has become a significant obstacle in training powerful deep-learning models for medical image segmentation, limiting their clinical application. To overcome this, ...

Abstract: Deep learning has made remarkable medical image segmentation advancements, yet its generalization capability across tasks remains challenging. The variety of task objectives, ...

The image analysis pipeline processed each fluorescence channel (Figure [D]). CellProfiler was used to adjust for illumination artifacts, segment single-cell nuclei and cytoplasm, and extract 2022 ...