Image Classification and Basic Segmentation with Tensorflow-Slim
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Updated
Mar 5, 2018 - Python
Image Classification and Basic Segmentation with Tensorflow-Slim
Extra details of segmentation algorithms that are attempted to use. Specific detail will be given to problems and special care "required" for them to work satisfactory.
Histopathological image processing and segmentation
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A retail company wants to create a roadmap for its sales and marketing activities. To plan for the medium to long term, the company needs to predict the potential value that existing customers will bring in the future.
Master's thesis project consisting in the development of a pipeline to segment and render tomography data of lithium-ion batteries during abuse testing.
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A machine learning project that segments customers into meaningful groups using advanced clustering techniques, enabling targeted marketing strategies based on both numerical and categorical data.
FastSAM API is a Python-based application designed to provide a high-performance service for computational tasks such as image segmentation and classification. Built using FastAPI, it offers a lightweight and robust framework for building scalable APIs.
Coronary Artery segmentation in CT angiography (CTCA), integrating centerline priors to enhance anatomical accuracy.
Görüntü Boyutlandırma, Görüntü Normalizasyonu, Grayscale (Gri tonlamalı) dönüşümü, HSV (Hue, Saturation, Value) dönüşüm, Gaussian Blur, Kenar Tespiti, Histogram Eşitleme, Eşikleme-Dönüşüm ve Geometrik İşlemler, Görüntü Dönüşümü ve Morfolojik İşlemler -açma, kapama, erozyon ve dilatasyon, Bölütleme (Segmentation
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