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Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
Thinking in frequency: Face forgery detection by mining frequency-aware clues
As realistic facial manipulation technologies have achieved remarkable progress, social
concerns about potential malicious abuse of these technologies bring out an emerging …
concerns about potential malicious abuse of these technologies bring out an emerging …
The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …
One of the reasons for this rise is that this application domain offers a particularly fertile …
Breast cancer histopathological image classification using convolutional neural networks
The performance of most conventional classification systems relies on appropriate data
representation and much of the efforts are dedicated to feature engineering, a difficult and …
representation and much of the efforts are dedicated to feature engineering, a difficult and …
Radiomics and radiogenomics in lung cancer: a review for the clinician
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe,
with delayed detection being perhaps the most significant factor for its high mortality rate …
with delayed detection being perhaps the most significant factor for its high mortality rate …
Computer vision and image processing: a paper review
V Wiley, T Lucas - International journal of artificial intelligence research, 2018 - ijair.id
Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …
into techniques and ideas combining digital image processing, pattern recognition, machine …
A review of human activity recognition methods
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
Association of peritumoral radiomics with tumor biology and pathologic response to preoperative targeted therapy for HER2 (ERBB2)–positive breast cancer
Importance There has been significant recent interest in understanding the utility of
quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic …
quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic …
Alzheimer's diseases detection by using deep learning algorithms: a mini-review
The accurate diagnosis of Alzheimer's disease (AD) plays an important role in patient
treatment, especially at the disease's early stages, because risk awareness allows the …
treatment, especially at the disease's early stages, because risk awareness allows the …