Deep learning techniques to diagnose lung cancer
L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …
research directions of deep learning techniques for lung cancer and pulmonary nodule …
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
I Domingues, G Pereira, P Martins, H Duarte… - Artificial Intelligence …, 2020 - Springer
Medical imaging is a rich source of invaluable information necessary for clinical judgements.
However, the analysis of those exams is not a trivial assignment. In recent times, the use of …
However, the analysis of those exams is not a trivial assignment. In recent times, the use of …
Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing
Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework
The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
Recent advancements in deep learning based lung cancer detection: A systematic review
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …
report from the International Agency for Research on Cancer (IARC) states that 27 million …
A regional adaptive variational PDE model for computed tomography image reconstruction
W Wei, B Zhou, D Połap, M Woźniak - Pattern Recognition, 2019 - Elsevier
Improving CT images by increasing the number of scans, hence increasing the ionizing
radiation dose, can increase the probability of inducing cancer in the patient. Using fewer …
radiation dose, can increase the probability of inducing cancer in the patient. Using fewer …
A holistic overview of deep learning approach in medical imaging
Medical images are a rich source of invaluable necessary information used by clinicians.
Recent technologies have introduced many advancements for exploiting the most of this …
Recent technologies have introduced many advancements for exploiting the most of this …
Fused weighted federated deep extreme machine learning based on intelligent lung cancer disease prediction model for healthcare 5.0
In the era of advancement in information technology and the smart healthcare industry 5.0,
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
Detection and classification of pulmonary nodules using convolutional neural networks: a survey
CT screening has been proven to be effective for diagnosing lung cancer at its early
manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the …
manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the …
Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification
Early-stage detection and identification of malignant pulmonary nodules can allow proper
medication and increase the survival rate of lung cancer patients. High-Resolution …
medication and increase the survival rate of lung cancer patients. High-Resolution …