A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging
Deep learning and radiomics with medical imaging have demonstrated strong potential to
improve diagnostic accuracy of pancreatic cancer, facilitate personalized treatment …
improve diagnostic accuracy of pancreatic cancer, facilitate personalized treatment …
Deep learning approaches for automatic localization in medical images
Recent revolutionary advances in deep learning (DL) have fueled several breakthrough
achievements in various complicated computer vision tasks. The remarkable successes and …
achievements in various complicated computer vision tasks. The remarkable successes and …
[HTML][HTML] A novel medical decision-making system based on multi-scale feature enhancement for small samples
K He, Y Qin, F Gou, J Wu - Mathematics, 2023 - mdpi.com
The medical decision-making system is an advanced system for patients that can assist
doctors in their medical work. Osteosarcoma is a primary malignant tumor of the bone, due …
doctors in their medical work. Osteosarcoma is a primary malignant tumor of the bone, due …
Smart City Based on Open Data: A Survey
Open data are gold mines because they can be used to create services that develop a smart
city while improving users' living conditions. Several research works go in this direction …
city while improving users' living conditions. Several research works go in this direction …
[PDF][PDF] A comparative study of different pre-trained deeplearning models and custom CNN for pancreatic tumor detection
MT Zavalsız, S Alhajj, K Sailunaz… - … Arab Journal of …, 2023 - acikerisim.medipol.edu.tr
Artificial Intelligence and its sub-branches like MachineLearning (ML) and Deep Learning
(DL) applications have the potential to have positive effects that can directly affect human …
(DL) applications have the potential to have positive effects that can directly affect human …
Computational Intelligence‐Based Melanoma Detection and Classification Using Dermoscopic Images
Melanoma is a kind of skin cancer caused by the irregular development of pigment‐
producing cells. Since melanoma detection efficiency is limited to different factors such as …
producing cells. Since melanoma detection efficiency is limited to different factors such as …
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
C Viviers, M Ramaekers, A Valiuddin… - Proceedings of the …, 2023 - openaccess.thecvf.com
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited
treatment options. This research proposes a workflow and deep learning-based …
treatment options. This research proposes a workflow and deep learning-based …
[HTML][HTML] CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm
HP Gandikota - Plos one, 2023 - journals.plos.org
Pancreatic cancer (PC) is a very lethal disease with a low survival rate, making timely and
accurate diagnoses critical for successful treatment. PC classification in computed …
accurate diagnoses critical for successful treatment. PC classification in computed …
Sparrow Search Algorithm With Stacked Deep Learning Based Medical Image Analysis for Pancreatic Cancer Detection and Classification
Medical image analysis for pancreatic cancer (PC) classification and recognition is a vital
domain of research and medical practices. PC is challenging to diagnose and treat; medical …
domain of research and medical practices. PC is challenging to diagnose and treat; medical …
Pancreatic tumor detection by convolutional neural networks
MT Zavalsız, S Alhajj, K Sailunaz… - … Arab Conference on …, 2022 - ieeexplore.ieee.org
Artificial Intelligence and its sub-branches like Machine Learning (ML) and Deep Learning
(DL) applications have the potential to have positive effects that can directly affect human …
(DL) applications have the potential to have positive effects that can directly affect human …