Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Biology and medical computing"'
Publikováno v:
The Journal of Engineering, Vol 2022, Iss 10, Pp 978-984 (2022)
Abstract As the main detoxification organ of human body, liver is very important in humans' health by metabolizing a lot of substances that are taken in, including alcohol and the medicine. However, if a person consumes too much alcohol or contaminat
Externí odkaz:
https://doaj.org/article/8dd395d7cc114980be6e46b67768d4e9
Publikováno v:
IET Communications, Vol 16, Iss 11, Pp 1325-1331 (2022)
Abstract Many countries actively promote the benefits of sports; in particular, water sports are popular among the younger generation. However, despite the mature development of equipment in diving, it requires relevant training to avoid decompressio
Externí odkaz:
https://doaj.org/article/f0b3af51f53342f9bdeb5c09e9502eb5
Autor:
Tuong Le
Publikováno v:
IET Communications, Vol 16, Iss 5, Pp 433-441 (2022)
Abstract In practical datasets used for supervised learning, the uneven distribution of the amounts of data between classes is known as the class imbalance problem, and can reduce the performance of basic classifiers. The class imbalance problem aris
Externí odkaz:
https://doaj.org/article/c6a73eb2be9544f282b81dbbd5900299
Autor:
Nasser Alshammari, Md Nazirul Islam Sarker, M.M. Kamruzzaman, Madallah Alruwaili, Saad Awadh Alanazi, Md Lamiur Raihan, Salman Ali AlQahtani
Publikováno v:
IET Communications, Vol 16, Iss 5, Pp 449-463 (2022)
Abstract Technology‐driven control measures could be an important tool to control the COVID‐19 pandemic crisis. This study evaluates the potentiality of emerging technologies such as 5G and 6G communication, Deep Learning (DL), big data, Internet
Externí odkaz:
https://doaj.org/article/d6b616da97d94461a695df5f88e9ef87
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 229-238 (2022)
Abstract Liver cancer poses a great threat to people's health. Accurate liver segmentation is crucial to the diagnosis of liver cancer. In recent years, great achievements have been made in liver segmentation using a series of improved networks devel
Externí odkaz:
https://doaj.org/article/5f2b451c96264790aaf72f44db71d2b2
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 29-38 (2022)
Abstract Medical image generation from diagnostic report has important research significance for medical‐aided diagnosis. This research can improve the diagnosis speed and accuracy of doctors and effectively save the storage resources of hospitals.
Externí odkaz:
https://doaj.org/article/8c1fd652d8504be29b5903e5c523df4f
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3118-3129 (2021)
Abstract Chest X‐ray images taken under different conditions follow different distributions, preventing the models trained on a domain from generalising well on the other domain. In this paper, a generative domain adaptation (GDA) method is propose
Externí odkaz:
https://doaj.org/article/922a5e5584f14bee92aa760affe4c3d4
Publikováno v:
IET Image Processing, Vol 15, Iss 12, Pp 2866-2879 (2021)
Abstract Judging the maturity level of each hand‐wrist reference bone is the core issue in bone age assessment. Relying on the superiority of convolutional neural networks in feature representation, deep learning is widely studied for the automatic
Externí odkaz:
https://doaj.org/article/5ac3fd20dd3c4c93b80f3fc0bd832d9f
Publikováno v:
IET Image Processing, Vol 15, Iss 12, Pp 2948-2958 (2021)
Abstract In clinical medicine, the pain feeling is a significant indicator for the medical condition of patients. Of late, automatic pain assessment methods have received more and more interests. Many researchers proposed corresponding methods and ac
Externí odkaz:
https://doaj.org/article/59720446c8ec4a81ade1434217e43f10
Publikováno v:
IET Image Processing, Vol 15, Iss 12, Pp 2959-2969 (2021)
Abstract Tracking the instruments in a surgical scene is an essential task in minimally invasive surgery. However, due to the unpredictability of scenes, automatically segmenting the instruments is very challenging. In this paper, a novel method name
Externí odkaz:
https://doaj.org/article/eb5e7a84ab2545eab59c6c7ea24211ca