|
|
|
|
|
Shoffan Saifullah and Rafal Drezewski
Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preproc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vinod Cheppamkuzhi and Menaka Dharmaraj
Lung cancer is seen as one of the most common lung diseases. For the patients having symptoms, the presence of lung nodules is checked by using various imaging techniques. Pulmonary nodules are detected in most of the cases having symptoms. But identifyi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muflah Nasir, Muhammad Shahid Farid, Zobia Suhail and Muhammad Hassan Khan
Lung cancer is the world?s second-largest cause of cancer mortality. Patients? lives can be saved if this malignancy is detected early. Doctors, however, encounter difficulties in detecting cancer in computed tomography (CT) images. In recent years, sign...
ver más
|
|
|
|
|
|
|
|
|
|
|
FX Ferdinandus, Esther Irawati Setiawan, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo
Pág. 320 - 337
The Covid-19 infection challenges medical staff to make rapid diagnoses of patients. In just a few days, the Covid-19 virus infection could affect the performance of the lungs. On the other hand, semantic segmentation using the Convolutional Neural Netwo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manawaduge Supun De Silva, Barath Narayanan Narayanan and Russell C. Hardie
Lung segmentation plays an important role in computer-aided detection and diagnosis using chest radiographs (CRs). Currently, the U-Net and DeepLabv3+ convolutional neural network architectures are widely used to perform CR lung segmentation. To boost pe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alyaa Amer, Tryphon Lambrou and Xujiong Ye
The advanced development of deep learning methods has recently made significant improvements in medical image segmentation. Encoder?decoder networks, such as U-Net, have addressed some of the challenges in medical image segmentation with an outstanding p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ashley V. Schwartz, Amanda N. Lee, Rebecca J. Theilmann and Uduak Z. George
Magnetic resonance (MR) imaging has demonstrated that CF subjects have a significantly higher lung density (e.g., fluid content) when compared with healthy control subjects, but, at present, there are no techniques to quantify the spatial presentation of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Chen, Hong Zhao and Ping Zhou
In anatomy, the lung can be divided by lung fissures into several pulmonary lobe units with specific functions. Identifying the lung lobes and the distribution of various diseases among different lung lobes from CT images is important for disease diagnos...
ver más
|
|
|
|
|
|
|
|
|
|
|
May Phu Paing, Kazuhiko Hamamoto, Supan Tungjitkusolmun and Chuchart Pintavirooj
Lung cancer is a life-threatening disease with the highest morbidity and mortality rates of any cancer worldwide. Clinical staging of lung cancer can significantly reduce the mortality rate, because effective treatment options strongly depend on the spec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Runing Xiao and Jinzhi Zhou
As a typical landmark in human lungs, the detection of pulmonary fissures is of significance to computer aided diagnosis and surgery. However, the automatic detection of pulmonary fissures in CT images is a difficult task due to complex factors like thei...
ver más
|
|
|
|
|
|