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Characterization of PET/CT images using texture analysis: the past, the present… any future?
After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …
images for quantification of intratumour uptake heterogeneity has received increasing …
Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms
A Masood, AA Al-Jumaily - International journal of biomedical …, 2013 - Wiley Online Library
Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …
and early detection of malignant melanoma. We review the state of the art in these systems …
Coronavirus (covid-19) classification using ct images by machine learning methods
M Barstugan, U Ozkaya, S Ozturk - ar** understory plant communities in deciduous forests from Sentinel-2 time series
Understory plant communities are an integral component of deciduous forests, playing a
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images
M Byra, G Styczynski, C Szmigielski… - International journal of …, 2018 - Springer
Purpose The nonalcoholic fatty liver disease is the most common liver abnormality. Up to
date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic …
date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic …
Deepsat: a learning framework for satellite imagery
Satellite image classification is a challenging problem that lies at the crossroads of remote
sensing, computer vision, and machine learning. Due to the high variability inherent in …
sensing, computer vision, and machine learning. Due to the high variability inherent in …
Melanoma classification on dermoscopy images using a neural network ensemble model
F ** of landslides using Random Forests
Landslide inventory map** is an indispensable prerequisite for reliable hazard and risk
analysis, and with the increasing availability of very high resolution (VHR) remote sensing …
analysis, and with the increasing availability of very high resolution (VHR) remote sensing …