A systematic approach to machine learning for cancer classification
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 …
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 …
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 …
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 …
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 …
discovered early have a decent chance of recovering. A few creators have looked at various …
Deep learning in lung and colon cancer classifications
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 …
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 …
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) …
(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 …
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
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 …
an important clinical task involving a considerable workload and a specific subspecialty of …