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 pathologists. Digitizing pathology is a current trend that provides large amounts of visual data allowing a faster and more precise diagnosis through the development of automatic image analysis techniques. Recent studies have shown promising results for the automatic analysis of cancer tissue by using deep learning strategies that automatically extract and organize the discriminative information from the data. This paper explores deep learning methods for the automatic analysis of Hematoxylin and Eosin stained histological images of breast cancer and lymphom...
Histopathological image analysis is an important technique for early diagnosis and detection of brea...
Breast cancer is a heterogeneous disease that occurs when malignant cells form in the breast. It is ...
Breast Cancer is a serious threat and one of the largest causes of death of women throughout the wor...
Accurately identifying and categorizing cancer structures/sub-types in histological images is an imp...
Breast cancer is a major public health issue that may be remedied with early identification and effi...
With the development of artificial intelligence technology and computer hardware functions, deep lea...
After skin cancer, the most common type of cancer is breast cancer among the world population. Breas...
Breast cancer is one of the main causes of cancer death worldwide. The diagnosis of biopsy tissue wi...
Deep learning, as one of the currently most popular computer science research trends, improves neura...
This paper present results of the use of Deep Learning approach and Convolutional Neural Networks ...
This paper presents a deep learning approach for automatic detection and visual analysis of invasive...
Breast cancer is diagnosed using histopathological imaging. This task is extremely time-consuming du...
Cancer has been considered one of the major threats to the lives and health of people. The substanti...
Abstract Microscopic analysis of breast tissues is necessary for a definitive diagnosis of breast c...
Pathologic assessment of tissue sections is an important part of breast cancer diagnosis, with early...
Histopathological image analysis is an important technique for early diagnosis and detection of brea...
Breast cancer is a heterogeneous disease that occurs when malignant cells form in the breast. It is ...
Breast Cancer is a serious threat and one of the largest causes of death of women throughout the wor...
Accurately identifying and categorizing cancer structures/sub-types in histological images is an imp...
Breast cancer is a major public health issue that may be remedied with early identification and effi...
With the development of artificial intelligence technology and computer hardware functions, deep lea...
After skin cancer, the most common type of cancer is breast cancer among the world population. Breas...
Breast cancer is one of the main causes of cancer death worldwide. The diagnosis of biopsy tissue wi...
Deep learning, as one of the currently most popular computer science research trends, improves neura...
This paper present results of the use of Deep Learning approach and Convolutional Neural Networks ...
This paper presents a deep learning approach for automatic detection and visual analysis of invasive...
Breast cancer is diagnosed using histopathological imaging. This task is extremely time-consuming du...
Cancer has been considered one of the major threats to the lives and health of people. The substanti...
Abstract Microscopic analysis of breast tissues is necessary for a definitive diagnosis of breast c...
Pathologic assessment of tissue sections is an important part of breast cancer diagnosis, with early...
Histopathological image analysis is an important technique for early diagnosis and detection of brea...
Breast cancer is a heterogeneous disease that occurs when malignant cells form in the breast. It is ...
Breast Cancer is a serious threat and one of the largest causes of death of women throughout the wor...