[HTML][HTML] Artificial intelligence breakthroughs in pioneering early diagnosis and precision treatment of breast cancer: A multimethod study
This article delves into the potential of artificial intelligence (AI) to enhance early breast
cancer (BC) detection for improved treatment outcomes and patient care. Utilizing a …
cancer (BC) detection for improved treatment outcomes and patient care. Utilizing a …
Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
Classification of breast cancer using transfer learning and advanced al-biruni earth radius optimization
Breast cancer is one of the most common cancers in women, with an estimated 287,850 new
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI
X Jiang, Y Ding, M Liu, Y Wang, Y Li, Z Wu - Computers in Biology and …, 2023 - Elsevier
Gastrointestinal (GI) cancer is a malignancy affecting the digestive organs. During radiation
therapy, the radiation oncologist must precisely aim the X-ray beam at the tumor while …
therapy, the radiation oncologist must precisely aim the X-ray beam at the tumor while …
BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based …
One of the most frequent cancers in women is breast cancer, and in the year 2022,
approximately 287,850 new cases have been diagnosed. From them, 43,250 women died …
approximately 287,850 new cases have been diagnosed. From them, 43,250 women died …
Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection
Atrial fibrillation easily leads to stroke, cerebral infarction and other complications, which will
seriously harm the life and health of patients. Traditional deep learning methods have weak …
seriously harm the life and health of patients. Traditional deep learning methods have weak …
Optimized deep learning architecture for brain tumor classification using improved Hunger Games Search Algorithm
One of the worst diseases is a brain tumor, which is defined by abnormal development of
synapses in the brain. Early detection of brain tumors is essential for improving prognosis …
synapses in the brain. Early detection of brain tumors is essential for improving prognosis …
A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods
Among the leading causes of mortality and morbidity in people are lung and colon cancers.
They may develop concurrently in organs and negatively impact human life. If cancer is not …
They may develop concurrently in organs and negatively impact human life. If cancer is not …
Applying deep learning methods for mammography analysis and breast cancer detection
Breast cancer is a serious medical condition that requires early detection for successful
treatment. Mammography is a commonly used imaging technique for breast cancer …
treatment. Mammography is a commonly used imaging technique for breast cancer …
Breast cancer detection and prevention using machine learning
Breast cancer is a common cause of female mortality in develo** countries. Early
detection and treatment are crucial for successful outcomes. Breast cancer develops from …
detection and treatment are crucial for successful outcomes. Breast cancer develops from …