Machine-learning-based disease diagnosis: A comprehensive review

MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

Artificial intelligence-driven diagnosis of pancreatic cancer

BS Hameed, UM Krishnan - Cancers, 2022 - mdpi.com
Simple Summary Pancreatic cancer poses a grave threat to mankind, due to its poor
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …

BreastNet18: a high accuracy fine-tuned VGG16 model evaluated using ablation study for diagnosing breast cancer from enhanced mammography images

S Montaha, S Azam, AKMRH Rafid, P Ghosh… - Biology, 2021 - mdpi.com
Simple Summary Breast cancer diagnosis at an early stage using mammography is
important, as it assists clinical specialists in treatment planning to increase survival rates …

SkinNet-16: A deep learning approach to identify benign and malignant skin lesions

P Ghosh, S Azam, R Quadir, A Karim… - Frontiers in …, 2022 - frontiersin.org
Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …

Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images

MSK Inan, FI Alam, R Hasan - Biomedical Signal Processing and Control, 2022 - Elsevier
Breast cancer has become a symbol of tremendous concern in the modern world, as it is one
of the major causes of cancer mortality worldwide. In this regard, breast ultrasonography …

Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model

S Hossain, S Azam, S Montaha, A Karim, SS Chowa… - Heliyon, 2023 - cell.com
Introduction Breast cancer stands as the second most deadly form of cancer among women
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …

[HTML][HTML] Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor's morphological …

MSK Inan, S Hossain, MN Uddin - Informatics in Medicine Unlocked, 2023 - Elsevier
Breast cancer is the world's second-largest cause of cancer mortality among women. With
the progress of artificial intelligence (AI) in healthcare, the survival rate of breast cancer …

An effective ensemble machine learning approach to classify breast cancer based on feature selection and lesion segmentation using preprocessed mammograms

AKMRH Rafid, S Azam, S Montaha, A Karim, KU Fahim… - Biology, 2022 - mdpi.com
Simple Summary The screening of breast cancer in its earlier stages can play a crucial role
in minimizing mortality rate by enabling clinicians to administer timely treatments and …

Supervised machine learning based liver disease prediction approach with LASSO feature selection

S Afrin, FMJM Shamrat, TI Nibir, MF Muntasim… - Bulletin of Electrical …, 2021 - beei.org
In this contemporary era, the uses of machine learning techniques are increasing rapidly in
the field of medical science for detecting various diseases such as liver disease (LD) …

A hybrid deep learning framework with decision-level fusion for breast cancer survival prediction

NA Othman, MA Abdel-Fattah, AT Ali - Big Data and Cognitive Computing, 2023 - mdpi.com
Because of technological advancements and their use in the medical area, many new
methods and strategies have been developed to address complex real-life challenges …