AIMC Topic: Early Detection of Cancer

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Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.

Critical reviews in biomedical engineering
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervical cancer detection. Many algorithms have been developed for classification of cervical images base...

Deep Learning Role in Early Diagnosis of Prostate Cancer.

Technology in cancer research & treatment
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted ma...

A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.

Journal of X-ray science and technology
The malignancy risk differentiation of pulmonary nodule is one of the most challenge tasks of computer-aided diagnosis (CADx). Most recently reported CADx methods or schemes based on texture and shape estimation have shown relatively satisfactory on ...

Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Widespread application of clinical natural language processing (NLP) systems requires taking existing NLP systems and adapting them to diverse and heterogeneous settings. We describe the challenges faced and lessons learned in adapting an ...

Using Natural Language Processing to Extract Abnormal Results From Cancer Screening Reports.

Journal of patient safety
OBJECTIVES: Numerous studies show that follow-up of abnormal cancer screening results, such as mammography and Papanicolaou (Pap) smears, is frequently not performed in a timely manner. A contributing factor is that abnormal results may go unrecogniz...

Machine learning models in breast cancer survival prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary fo...

[Fragments Woven into a Whole: A New Approach to the Diagnosis of Cancer through Mass Spectrometry and Machine-Learning].

Rinsho byori. The Japanese journal of clinical pathology
Conventionally, a definitive diagnosis of cancer is derived from histopathological diagnostics based on morphological criteria that are difficult to standardize on a quantifiable basis. On the other hand, while molecular tumor markers and blood bioch...

[Intelligent distributed system of population cancer screening].

Voprosy onkologii
This review summarizes data dedicated to improving the efficiency of screening of malignant tumors through the use of modern information and telecommunication technologies. It is showed that currently available software solutions in the field of medi...