… Recently, deeplearning–based feature extraction methods … framework, the strength of such deeplearning–based … A comprehensive flow diagram of our proposed framework is …
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
… the early stage diagnosis of … deeplearning models for the automated screening of COVID-19 suspected cases. An ensemble deeplearning and Internet of Things (IoT) basedframework …
W Mumtaz, A Qayyum - International journal of medical informatics, 2019 - Elsevier
… to a next level of deeplearningframeworks. However, this … baseddeeplearningframework that automatically discriminated depressed and healthy controls and provided the diagnosis…
… by EPCOR Drainage Services based in Edmonton, Canada. A complete framework for developing the automated defect detection system with a deeplearning algorithm is proposed in …
… Cancer diagnosis can be automated by using the potential of … DeepLearning (DL) and Digital Image Processing (DIP) techniques, this paper inscribes a classification framework to …
… of samples, absence of automated processing methods, and … machine-learning-based framework involving a large number of data points and fully automated processing for diagnosis …
A Rehman, S Naz, MI Razzak, F Akram… - Circuits, Systems, and …, 2020 - Springer
… Still the available automated tumor detection systems are not … robust automated computer-aided diagnosis systems for brain tumor detection. The conventional machinelearning-based …
… a novel deeplearningframework for the detection and classification of breast cancer in breast cytology images using the concept of transfer learning. In general, deeplearning …
… a machinelearning-basedframework for detection of COVID-19 from X-ray images. We used one traditional machinelearning … CNN-based ResNet50 architect as an automated tool for …