Browsing by Subject "bone scintiscanning"
Now showing items 1-6 of 6
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Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application
(2020)Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging is particularly important for the clinical diagnosis of bone metastasis. Up to date, minimal research has been conducted regarding ... -
Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy
(2020)Objective: The main aim of this work is to build a robust Convolutional Neural Network (CNN) algorithm that efficiently and quickly classifies bone scintigraphy images, by determining the presence or absence of prostate ... -
Dynamic changes of CTCs in patients with metastatic HR(+)/HER2(−) breast cancer receiving salvage treatment with everolimus/exemestane
(2021)Purpose: Detection of CTCs represents a poor prognostic factor in patients with early and metastatic breast cancer (mBC) and treatment with everolimus–exemestane (E/E) is an established effective treatment in hormone ... -
Efficient bone metastasis diagnosis in bone scintigraphy using a fast convolutional neural network architecture
(2020)(1) Background: Bone metastasis is among diseases that frequently appear in breast, lung and prostate cancer; the most popular imaging method of screening in metastasis is bone scintigraphy and presents very high sensitivity ... -
Tuberculous pyomyositis: A re-emerging entity of many faces
(2016)Tuberculosis (TB) has become a global concern due to its increasing incidence, particularly in immunocompromised patients, closely following the migratory patterns of populations. TB pyomyositis is a rare extrapulmonary ...