Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

S Huang, J Yang, S Fong, Q Zhao - Cancer letters, 2020 - Elsevier
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …

[HTML][HTML] Artificial intelligence in digital pathology of cutaneous lymphomas: A review of the current state and future perspectives

T Doeleman, LM Hondelink, MH Vermeer… - Seminars in Cancer …, 2023 - Elsevier
Primary cutaneous lymphomas (CLs) represent a heterogeneous group of T-cell lymphomas
and B-cell lymphomas that present in the skin without evidence of extracutaneous …

Survey on machine learning and deep learning applications in breast cancer diagnosis

G Chugh, S Kumar, N Singh - Cognitive Computation, 2021 - Springer
Cancer is a fatal disease caused due to the undesirable spread of cells. Breast carcinoma is
the most invasive tumors and is the main reason for cancer deaths in females. Therefore …

Breast cancer detection using an ensemble deep learning method

A Das, MN Mohanty, PK Mallick, P Tiwari… - … Signal Processing and …, 2021 - Elsevier
In this work, the effectiveness of the deep learning model is applied for one-dimensional
data when converted to images. This work is based on the effective conversion of one …

[HTML][HTML] MultiNet: A deep neural network approach for detecting breast cancer through multi-scale feature fusion

SI Khan, A Shahrior, R Karim, M Hasan… - Journal of King Saud …, 2022 - Elsevier
Breast cancer diagnosis from biopsy tissue images conducted manually by pathologists is
costly, time-consuming, and disagreements among specialists. Nowadays, the advancement …

[HTML][HTML] Computational pathology: a survey review and the way forward

MS Hosseini, BE Bejnordi, VQH Trinh, L Chan… - Journal of Pathology …, 2024 - Elsevier
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities

S Sushanki, AK Bhandari, AK Singh - Archives of Computational Methods …, 2024 - Springer
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …

Automated detection and grading of invasive ductal carcinoma breast cancer using ensemble of deep learning models

NA Barsha, A Rahman, MRC Mahdy - Computers in Biology and Medicine, 2021 - Elsevier
Invasive ductal carcinoma (IDC) breast cancer is a significant health concern for women all
around the world and early detection of the disease may increase the survival rate in …

Machine learning methods for histopathological image analysis: A review

J De Matos, STM Ataky, A de Souza Britto Jr… - Electronics, 2021 - mdpi.com
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …

Application of deep learning in histopathology images of breast cancer: a review

Y Zhao, J Zhang, D Hu, H Qu, Y Tian, X Cui - Micromachines, 2022 - mdpi.com
With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …