RETRACTED ARTICLE: Fuzzy rank correlation-based segmentation method and deep neural network for bone cancer identification

T Altameem - Neural Computing and Applications, 2020 - Springer
Bone malignant tumors are one of the important health problems because tumors are
formed due to the affectedness of the healthiest bone tissues. This serious bone cancer has …

Bone cancer detection using feature extraction based machine learning model

A Sharma, DP Yadav, H Garg, M Kumar… - … Methods in Medicine, 2021 - Wiley Online Library
Bone cancer is considered a serious health problem, and, in many cases, it causes patient
death. The X‐ray, MRI, or CT‐scan image is used by doctors to identify bone cancer. The …

Automated segmentation of bone computed tomography image using deep convolution neural network

D Shrivastava, D Kandar, AK Maji - Journal of Computational …, 2018 - ingentaconnect.com
Computed Tomography (CT) images play a crucial role in determination of bone
abnormalities like osteoporosis, bone cancer, bone deformation, tuberculosis of bone etc …

SVM model based computerized bone cancer detection

B Jabber, M Shankar, PV Rao… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Among the many types of cancers, bone cancer is one with which most of the deaths occur
in the world. Around 10000 deaths are occurring in a year in India due to bone cancer. Bone …

[HTML][HTML] Application of the convolutional neural networks and supervised deep-learning methods for osteosarcoma bone cancer detection

S Gawade, A Bhansali, K Patil, D Shaikh - Healthcare Analytics, 2023 - Elsevier
Osteosarcoma is a cancerous tumor that occurs in bones. Although it can occur in any bone,
it often occurs in long bones such as arms and legs. The exact cause of this cancerous …

A bone segmentation method based on Multi-scale features fuse U2Net and improved dice loss in CT image process

T Liu, Y Lu, Y Zhang, J Hu, C Gao - Biomedical Signal Processing and …, 2022 - Elsevier
During the conventional CT image process, window width is set to extract target. However,
different tissues may have the same value of hounsfield unit in CT images, which cause …

A comparative analysis of CNN-based deep learning architectures for early diagnosis of bone cancer using CT images

K Sampath, S Rajagopal, A Chintanpalli - Scientific Reports, 2024 - nature.com
Bone cancer is a rare in which cells in the bone grow out of control, resulting in destroying
the normal bone tissue. A benign type of bone cancer is harmless and does not spread to …

Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis

Z Zhao, Y Pi, L Jiang, Y Xiang, J Wei, P Yang… - Scientific reports, 2020 - nature.com
Bone scintigraphy (BS) is one of the most frequently utilized diagnostic techniques in
detecting cancer bone metastasis, and it occupies an enormous workload for nuclear …

Deep Learning Based Automated tool for cancer diagnosis from bone histopathology images

BS Vandana, SR Alva - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Histopathology procedure is conventional in nature. Moreover, manual procedure of
Pathologists can handle only limited cases due to prolonged steps. This manual procedure …

[PDF][PDF] Detection and segmentation of osteoporosis in human body using recurrent neural network

AS Shaker - International Journal of Advanced Science and …, 2020 - researchgate.net
Osteoporosis is a disease that weakens the bone strength causing fractures and life-
threatening complications. It has been estimated to affect more than 200 million people …