[HTML][HTML] IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge …
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …
usually occur in the extremities of long bones near metaphyseal growth plates …
A deep learning study on osteosarcoma detection from histological images
Abstract In the US 5–10% of new pediatric cases of cancer are primary bone tumors. The
most common type of primary malignant bone tumor is osteosarcoma. The intention of the …
most common type of primary malignant bone tumor is osteosarcoma. The intention of the …
[HTML][HTML] Automatic detection of osteosarcoma based on integrated features and feature selection using binary arithmetic optimization algorithm
Osteosarcoma is one of the most common malignant bone tumors mostly found in children
and teenagers. Manual detection of osteosarcoma requires expertise and it is a labour …
and teenagers. Manual detection of osteosarcoma requires expertise and it is a labour …
[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 …
it often occurs in long bones such as arms and legs. The exact cause of this cancerous …
[HTML][HTML] A multimodal auxiliary classification system for osteosarcoma histopathological images based on deep active learning
F Gou, J Liu, J Zhu, J Wu - Healthcare, 2022 - mdpi.com
Histopathological examination is an important criterion in the clinical diagnosis of
osteosarcoma. With the improvement of hardware technology and computing power …
osteosarcoma. With the improvement of hardware technology and computing power …
Fractional‐Harris hawks optimization‐based generative adversarial network for osteosarcoma detection using Renyi entropy‐hybrid fusion
SJ Badashah, SS Basha, SR Ahamed… - … Journal of Intelligent …, 2021 - Wiley Online Library
Osteosarcoma is the malignant bone sarcoma that is characterized by widespread genomic
disruption and the inclination for metastatic spread. Early detection of osteosarcoma …
disruption and the inclination for metastatic spread. Early detection of osteosarcoma …
[HTML][HTML] A secure internet of medical things framework for breast cancer detection in sustainable smart cities
Computational intelligence (CI) and artificial intelligence (AI) have incredible roles to play in
the development of smart and sustainable healthcare systems by facilitating the integration …
the development of smart and sustainable healthcare systems by facilitating the integration …
Secure IoMT for disease prediction empowered with transfer learning in healthcare 5.0, the concept and case study
Identifying human diseases remains a difficult process, even in the age of advanced
information technology and the smart healthcare industry 5.0. In the smart healthcare …
information technology and the smart healthcare industry 5.0. In the smart healthcare …
[HTML][HTML] Deep Learning Approaches to Osteosarcoma Diagnosis and Classification: A Comparative Methodological Approach
Simple Summary Osteosarcoma is a rare form of bone cancer that primarily affects children
and adolescents during their growth years. Known to be one of the most aggressive tumors …
and adolescents during their growth years. Known to be one of the most aggressive tumors …
Machine Learning approach to classify and predict different Osteosarcoma types
Family physicians rarely see a malignant bone cancer because it is hard to find, and most of
the time, bone cancer is benign. It is very time-consuming and complicated for the …
the time, bone cancer is benign. It is very time-consuming and complicated for the …