|
Dear Edson Neto, |
Based on the papers you've read, we think you might be interested in this recently published article from Academia Oncology: Cervical cancer classification from Pap smear cells using machine learning models
|
|
|
Francisco Erbio Dias, Sâmia D. Braga, Ana Cláudia G. Xavier, Gilvan M. da Paz, Rodrigo de M. S. Veras...
|
|
|
|---|
|
|---|
|
| Cervical cancer is one of the most common cancers among women worldwide, and early diagnosis is essential to reduce mortality. This study investigated the use of machine learning techniques to classify normal and abnormal cervical cells using the SIPaKMeD dataset. Four algorithms were applied: Multilayer Perceptron... Read more |
|
|
|---|
|
|
Academia Oncology is an innovative open access journal publishing original research and review articles covering all areas of oncology. The editors welcome interdisciplinary submissions from the cutting edge of oncology research, in particular, those that drive connectivity between disciplines. |
|
|
|---|
|
|
|
|
Read later