Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
ESA El-Dahshan, HM Mohsen, K Revett… - Expert systems with …, 2014 - Elsevier
Computer-aided detection/diagnosis (CAD) systems can enhance the diagnostic capabilities
of physicians and reduce the time required for accurate diagnosis. The objective of this …
of physicians and reduce the time required for accurate diagnosis. The objective of this …
Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review
K Radiya, HL Joakimsen, KØ Mikalsen, EK Aahlin… - European …, 2023 - Springer
Objectives Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …
image modalities. Our objectives were to provide clinicians with an overview of this field by …
[PDF][PDF] Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
A El-Sayed, HM Mohsen, K Revett… - Expert systems with …, 2014 - academia.edu
abstract Computer-aided detection/diagnosis (CAD) systems can enhance the diagnostic
capabilities of physicians and reduce the time required for accurate diagnosis. The objective …
capabilities of physicians and reduce the time required for accurate diagnosis. The objective …
[PDF][PDF] A novel approach for brain tumor detection using neural network
S Charfi, R Lahmyed… - International Journal of …, 2014 - impactjournals.us
Computer-aided detection/diagnosis (CAD) systems can enhance the diagnostic capabilities
of physicians and reduce the time required for accurate diagnosis. The objective of this …
of physicians and reduce the time required for accurate diagnosis. The objective of this …
Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review
HL Joakimsen - 2023 - munin.uit.no
Objectives: Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …
image modalities. Our objectives were to provide clinicians with an overview of this field by …
A hybrid segmentation approach for rapid and reliable liver volumetric analysis in daily clinical practice
Z Apollon, K Dionissios, K Dimitrios… - 2015 IEEE 15th …, 2015 - ieeexplore.ieee.org
Preoperative evaluation of liver future remnant volume is essential for liver oncologic and
transplantation surgery. Segmentation of liver imaging studies allow for an excellent liver …
transplantation surgery. Segmentation of liver imaging studies allow for an excellent liver …