Cancer diagnosis using deep learning: a bibliographic review
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …
steps of cancer diagnosis followed by the typical classification methods used by doctors …
Deep learning for image-based cancer detection and diagnosis− A survey
In this paper, we aim to provide a survey on the applications of deep learning for cancer
detection and diagnosis and hope to provide an overview of the progress in this field. In the …
detection and diagnosis and hope to provide an overview of the progress in this field. In the …
[PDF][PDF] Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges.
Cancer is one of the most critical diseases that has caused several deaths in today's world.
In most cases, doctors and practitioners are only able to diagnose cancer in its later stages …
In most cases, doctors and practitioners are only able to diagnose cancer in its later stages …
A novel deep learning-based technique for detecting prostate cancer in MRI images
In the western world, the prostate cancer is major cause of death in males. Magnetic
Resonance Imaging (MRI) is widely used for the detection of prostate cancer due to which it …
Resonance Imaging (MRI) is widely used for the detection of prostate cancer due to which it …
Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy
Worldwide, polypoidal choroidal vasculopathy (PCV) is a common vision-threatening
exudative maculopathy, and pigment epithelium detachment (PED) is an important clinical …
exudative maculopathy, and pigment epithelium detachment (PED) is an important clinical …
Convolutional neural networks for prostate magnetic resonance image segmentation
One of the most accurate and non-invasive prostate imaging methods is magnetic
resonance imaging (MRI). Segmentation is needed to find the boundary of the prostate …
resonance imaging (MRI). Segmentation is needed to find the boundary of the prostate …
Advances in and the applicability of machine learning-based screening and early detection approaches for cancer: A primer
L Benning, A Peintner, L Peintner - Cancers, 2022 - mdpi.com
Simple Summary Non-communicable diseases in general, and cancer in particular,
contribute greatly to the global burden of disease. Although significant advances have been …
contribute greatly to the global burden of disease. Although significant advances have been …
An evolutionary DenseRes deep convolutional neural network for medical image segmentation
The performance of a Convolutional Neural Network (CNN) highly depends on its
architecture and corresponding parameters. Manually designing a CNN is a time-consuming …
architecture and corresponding parameters. Manually designing a CNN is a time-consuming …
Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans
GLF da Silva, PS Diniz, JL Ferreira, JVF Franca… - Medical & Biological …, 2020 - Springer
Automatic and reliable prostate segmentation is an essential prerequisite for assisting the
diagnosis and treatment, such as guiding biopsy procedure and radiation therapy …
diagnosis and treatment, such as guiding biopsy procedure and radiation therapy …
Machine learning-based models in the diagnosis, prognosis and effective cancer therapeutics: current state-of-the-art
Currently, the advancement of computational intelligence (CI) and machine learning (ML)
leading to the integration of methods. Cancer, one of the major challenges in organisms, is …
leading to the integration of methods. Cancer, one of the major challenges in organisms, is …