A comprehensive review on breast cancer detection, classification and segmentation using deep learning
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
Invasive lobular carcinoma: a review of imaging modalities with special focus on pathology concordance
AM Pereslucha, DM Wenger, MF Morris, ZB Aydi - Healthcare, 2023 - mdpi.com
Invasive lobular cancer (ILC) is the second most common type of breast cancer. It is
characterized by a unique growth pattern making it difficult to detect on conventional breast …
characterized by a unique growth pattern making it difficult to detect on conventional breast …
A modified LeNet CNN for breast cancer diagnosis in ultrasound images
S Balasubramaniam, Y Velmurugan, D Jaganathan… - Diagnostics, 2023 - mdpi.com
Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …
processing to automatically extract meaningful features and classify various medical …
Enhancing ductal carcinoma classification using transfer learning with 3D U-net models in breast cancer imaging
Breast cancer ranks among the leading causes of death for women globally, making it
imperative to swiftly and precisely detect the condition to ensure timely treatment and …
imperative to swiftly and precisely detect the condition to ensure timely treatment and …
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Background Lung diseases, both infectious and non-infectious, are the most prevalent
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
Deep learning in different ultrasound methods for breast cancer, from diagnosis to prognosis: current trends, challenges, and an analysis
Simple Summary Breast cancer is one of the leading causes of cancer death among women.
Ultrasound is a harmless imaging modality used to help make decisions about who should …
Ultrasound is a harmless imaging modality used to help make decisions about who should …
Embedded sensor systems in medical devices: Requisites and challenges ahead
N Arandia, JI Garate, J Mabe - Sensors, 2022 - mdpi.com
The evolution of technology enables the design of smarter medical devices. Embedded
Sensor Systems play an important role, both in monitoring and diagnostic devices for …
Sensor Systems play an important role, both in monitoring and diagnostic devices for …
Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images
The global spread of coronavirus illness has surged dramatically, resulting in a catastrophic
pandemic situation. Despite this, accurate screening remains a significant challenge due to …
pandemic situation. Despite this, accurate screening remains a significant challenge due to …
Revolutionizing diagnostic pathology: The emergence and impact of artificial intelligence—what doesn't kill you makes you stronger?
A Alhatem, T Wong, WC Lambert - Clinics in Dermatology, 2024 - Elsevier
This study explored the integration and impact of artificial intelligence (AI) in diagnostic
pathology, particularly dermatopathology, assessing its challenges and potential solutions …
pathology, particularly dermatopathology, assessing its challenges and potential solutions …
Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
MF Ijaz, M Woźniak - Cancers, 2024 - mdpi.com
In the evolving landscape of medical imaging, the escalating need for deep-learning
methods takes center stage, offering the capability to autonomously acquire abstract data …
methods takes center stage, offering the capability to autonomously acquire abstract data …