Deep CNN model based on VGG16 for breast cancer classification
Deep learning (DL) technologies are becoming a buzzword these days, especially for breast
histopathology image tasks, such as diagnosing, due to the high performance obtained in …
histopathology image tasks, such as diagnosing, due to the high performance obtained in …
Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning
Purpose To assess whether the integration between (a) functional imaging features that will
be extracted from diffusion‐weighted imaging (DWI); and (b) shape and texture imaging …
be extracted from diffusion‐weighted imaging (DWI); and (b) shape and texture imaging …
Advancements in Lossless and Reversible Compression of Digital Pathology Images via Auto-Recursive Set Partitioning in Hierarchical Trees and Wavelet …
Abstract Set Partitioning in Hierarchical Trees (SPIHT) represents a leading-edge algorithm
in near-lossless image compression, leveraging the Discrete Wavelet Transform. However …
in near-lossless image compression, leveraging the Discrete Wavelet Transform. However …