Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
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 …
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 …
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
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 …
the most invasive tumors and is the main reason for cancer deaths in females. Therefore …
Breast cancer detection using an ensemble deep learning method
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 …
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
Breast cancer diagnosis from biopsy tissue images conducted manually by pathologists is
costly, time-consuming, and disagreements among specialists. Nowadays, the advancement …
costly, time-consuming, and disagreements among specialists. Nowadays, the advancement …
[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
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 …
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
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 …
around the world and early detection of the disease may increase the survival rate in …
Machine learning methods for histopathological image analysis: A review
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 …
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
With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …