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 …
Artificial intelligence in breast imaging: potentials and challenges
J Li, D Sheng, J Chen, C You, S Liu… - Physics in Medicine & …, 2023 - iopscience.iop.org
Artificial intelligence in breast imaging: potentials and challenges Page 1 Physics in Medicine
& Biology ACCEPTED MANUSCRIPT • OPEN ACCESS Artificial intelligence in breast …
& Biology ACCEPTED MANUSCRIPT • OPEN ACCESS Artificial intelligence in breast …
MSRNet: multiclass skin lesion recognition using additional residual block based fine-tuned deep models information fusion and best feature selection
Cancer is one of the leading significant causes of illness and chronic disease worldwide.
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …
Identification of novel diagnostic and prognostic gene signature biomarkers for breast cancer using artificial intelligence and machine learning assisted transcriptomics …
Simple Summary Breast cancer is the most fatal female cancer, which the existing clinical
and pathological information sometimes fails to diagnose accurately. Recent artificial …
and pathological information sometimes fails to diagnose accurately. Recent artificial …
Deep learning and ultrasound feature fusion model predicts the malignancy of complex cystic and solid breast nodules with color Doppler images
H Liu, CJ Hou, JL Tang, LT Sun, KF Lu, Y Liu, P Du - Scientific Reports, 2023 - nature.com
This study aimed to evaluate the performance of traditional-deep learning combination
model based on Doppler ultrasound for diagnosing malignant complex cystic and solid …
model based on Doppler ultrasound for diagnosing malignant complex cystic and solid …
Systematic reviews of machine learning in healthcare: a literature review
K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach
M Rakhshaninejad, M Fathian, R Shirkoohi… - BMC …, 2024 - Springer
Breast cancer remains a major public health challenge worldwide. The identification of
accurate biomarkers is critical for the early detection and effective treatment of breast cancer …
accurate biomarkers is critical for the early detection and effective treatment of breast cancer …
Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer
M Ghorbian, S Ghorbian - Heliyon, 2023 - cell.com
Breast cancer (BC) is one of the most common types of cancer in women, and its prevalence
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …
A Framework for Interpretability in Machine Learning for Medical Imaging
Interpretability for machine learning models in medical imaging (MLMI) is an important
direction of research. However, there is a general sense of murkiness in what interpretability …
direction of research. However, there is a general sense of murkiness in what interpretability …
A deep learning model based on capsule networks for covid diagnostics through x-ray images
X-ray diagnostics are widely used to detect various diseases, such as bone fracture,
pneumonia, or intracranial hemorrhage. This method is simple and accessible in most …
pneumonia, or intracranial hemorrhage. This method is simple and accessible in most …