Comparison of various learning rate scheduling techniques on convolutional neural network
J Konar, P Khandelwal… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The learning rate is a hyperparameter which determines how much the model should
change concerning the error each time the model parameters are updated. It is important to …
change concerning the error each time the model parameters are updated. It is important to …
Toward classifying small lung nodules with hyperparameter optimization of convolutional neural networks
LL Lima, JR Ferreira Junior… - Computational …, 2021 - Wiley Online Library
Among all cancer‐related deaths, lung cancer leads all indicators, accounting for
approximately 20% of all types. Patients diagnosed in the early stages have a 1‐year …
approximately 20% of all types. Patients diagnosed in the early stages have a 1‐year …
Dynamic random distribution learning rate for neural networks training
The learning rate is the most crucial hyper-parameter of a neural network that has a
significant impact on its performance. In this article, a novel learning rate setting idea termed …
significant impact on its performance. In this article, a novel learning rate setting idea termed …
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm
Lung cancer is one of the most deadly cancer in both men and women. Accurate and early
diagnosis of pulmonary lung nodules is critical. This study presents an accurate computer …
diagnosis of pulmonary lung nodules is critical. This study presents an accurate computer …
Pulmonary Nodules Binary Classification using CNN and LSTM
Pulmonary cancer is amongst the major reasons of death all across the globe. The rate of
survival in patients suffering from lung cancer increases only if it is diagnosed at early …
survival in patients suffering from lung cancer increases only if it is diagnosed at early …
Hyperparameter for deep learning applied in mammogram image classification
JW Pereira, MX Ribeiro - 2022 IEEE 35th International …, 2022 - ieeexplore.ieee.org
Deep Learning has become increasingly frequent in the studies and analysis of medical
images. Advances relevant to this area of research improve computer-aided diagnostic …
images. Advances relevant to this area of research improve computer-aided diagnostic …
An Efficient Neural Network for Segmenting Multiple Joint Tissues from Knee MRI with Hyperparameter Optimization: Data from the Osteoarthritis Initiative
Early detection of knee osteoarthritis is crucial because the damage in the knee joint is
irreversible at the advanced stage. Medical images such as Magnetic Resonance Imaging …
irreversible at the advanced stage. Medical images such as Magnetic Resonance Imaging …