A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …
disease for human beings, where advance stage diagnosis may not help much in …
A machine learning framework to identify the hotspot in photovoltaic module using infrared thermography
In this paper, a hybrid features based support vector machine (SVM) model is proposed
using infrared thermography technique for hotspots detection and classification of …
using infrared thermography technique for hotspots detection and classification of …
A novel ResNet101 model based on dense dilated convolution for image classification
Q Zhang - SN Applied Sciences, 2022 - Springer
Image classification plays an important role in computer vision. The existing convolutional
neural network methods have some problems during image classification process, such as …
neural network methods have some problems during image classification process, such as …
Optimizing gene selection and cancer classification with hybrid sine cosine and cuckoo search algorithm
Gene expression datasets offer a wide range of information about various biological
processes. However, it is difficult to find the important genes among the high-dimensional …
processes. However, it is difficult to find the important genes among the high-dimensional …
The classification of medicinal plant leaves based on multispectral and texture feature using machine learning approach
This study proposes the machine learning based classification of medical plant leaves. The
total six varieties of medicinal plant leaves-based dataset are collected from the Department …
total six varieties of medicinal plant leaves-based dataset are collected from the Department …
Machine learning approach for the classification of corn seed using hybrid features
Seed purity is an important indicator of crop seed quality. On the other side, corn is an
important crop of the modern agricultural industry with more than 40% grain Worldwide …
important crop of the modern agricultural industry with more than 40% grain Worldwide …
Improving breast cancer classification with mRMR+ SS0+ WSVM: a hybrid approach
A Yaqoob, NK Verma, RM Aziz - Multimedia Tools and Applications, 2024 - Springer
Detecting breast cancer through histopathological images is time-consuming due to their
volume and complexity. Speeding up early detection is crucial for timely medical …
volume and complexity. Speeding up early detection is crucial for timely medical …
Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism
C Chen, C Chen, M Ma, X Ma, X Lv, X Dong… - BMC Medical Informatics …, 2022 - Springer
Purpose Liver cancer is one of the most common malignant tumors in the world, ranking fifth
in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The …
in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …