A systematic approach to machine learning for cancer classification

G Kaur, C Prabha, D Chhabra, N Kaur… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Cancer is a lethal disease that is frequently brought on by the accumulation of hereditary
disorders and many pathological alterations. Cancerous cells are aberrant, life-threatening …

Ensemble learning for detection of types of melanoma

R Patil, S Bellary - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Melanoma is a potentially fatal type of skin cancer in these melanocytes develop
uncontrollably. Malignant melanoma is another name for melanoma. Melanoma rates in …

Understanding the multiclass classification of lymphomas from simple descriptors

TP De Faria, MZ Do Nascimento… - 2021 International …, 2021 - ieeexplore.ieee.org
The Lymphoma treatment can be more effective when its type is correctly diagnosed.
Several researches have focused on developing accurate classification of the disease from …

Automatic Lymph Node Classification with Convolutional Neural Network

A Uthatham, N Yodrabum… - 2022 14th …, 2022 - ieeexplore.ieee.org
Manual lymph node classification is a tedious and time-consuming task. It requires a
histopathologist to discriminate a lymph node from other look-alike kinds of tissues. The …

Melanoma classification using deep transfer learning

M Nookala, CS Joshna, I Vandana - International Journal of Data …, 2022 - ijdiic.com
Melanoma is the most lethal type of skin cancer, despite the fact that individuals who are
discovered early have a decent chance of recovering. A few creators have looked at various …

Deep learning in lung and colon cancer classifications

K Mridha, MDI Islam, S Ashfaq… - … on Advances in …, 2022 - ieeexplore.ieee.org
The past few decades have seen revolutionary advancements in the field of Healthcare and
Medicine. During this period, the underlying reasons for many fatal diseases have been …

[PDF][PDF] Tissue and tumor Epithelium classification using fine-tuned deep CNN models

TE Anju, S Vimala - … Journal of Advanced Computer Science and …, 2022 - researchgate.net
The field of Digital Pathology (DP) has become more interested in automated tissue
phenotyping in recent years. Tissue phenotyping may be used to identify colorectal cancer …

Convolutional neural networks for recognition of lymphoblast cell images

T Pansombut, S Wikaisuksakul… - Computational …, 2019 - Wiley Online Library
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia
(ALL) subtypes. The two ALL subtypes considered are T‐lymphoblastic leukaemia (pre‐T) …

[HTML][HTML] A survey on human cancer categorization based on deep learning

A Ibrahim, HK Mohamed, A Maher… - Frontiers in Artificial …, 2022 - frontiersin.org
In recent years, we have witnessed the fast growth of deep learning, which involves deep
neural networks, and the development of the computing capability of computer devices …

A deep learning approach for breast invasive ductal carcinoma detection and lymphoma multi-classification in histological images

N Brancati, G De Pietro, M Frucci, D Riccio - Ieee Access, 2019 - ieeexplore.ieee.org
Accurately identifying and categorizing cancer structures/sub-types in histological images is
an important clinical task involving a considerable workload and a specific subspecialty of …