Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Poojita Garg"'
Autor:
Manan Mehta, Mamta Juneja, Niharika Thakur, Prashant Jindal, Jatin Gupta, Poojita Garg, Sumindar Kaur Saini, Aviral Sharma
Publikováno v:
Multimedia Tools and Applications. 80:29199-29249
Prostate cancer (PCa) has become the second most dreadful cancer in men after lung cancer. Traditional approaches used for treatment of PCa were manual, time consuming and prone to subjective errors. Thus, there is a need for a Computer aided diagnos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b98d5711c860618b23bf11e03b7f7a73
https://doi.org/10.1007/s11042-021-11044-2
https://doi.org/10.1007/s11042-021-11044-2
Autor:
Poojita Garg, Deepak Joshi
Publikováno v:
Journal of medical engineeringtechnology. 45(4)
Since the outbreak of the novel coronavirus, COVID-19 has continuously spread across the globe briskly. However, since its existence, the symptoms of the disease have been varying widely; thus, developing an urgent need to stratify high-risk categori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbfa51d7ae70ebd7210a904c82725dc3
https://pubmed.ncbi.nlm.nih.gov/33750249
https://pubmed.ncbi.nlm.nih.gov/33750249
Autor:
Prashant Jindal, Mamta Juneja, Rashi Aditi Ranjan, Ishan Madhav, Poojita Garg, Parneet Kaur, Pranav Raj, Varun Karan
Publikováno v:
Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India ISBN: 9789811530197
Assessment of movements across various finger joints is essential for assisting physiotherapists in the detection of the harm & impairment caused due to injuries on the human hand and to determine its recovery. A soft hand glove with flex sensors has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c2da7ffa94fb1fa7334d90395a13c9a
https://doi.org/10.1007/978-981-15-3020-3_18
https://doi.org/10.1007/978-981-15-3020-3_18
Autor:
Prateek, Palak Manocha, Poojita Garg, Shaswat Singh, Prashant Jindal, Mamta Juneja, Shivam Batra, Ravinder Kaur, Pradeep Singh
Publikováno v:
Biomedical Signal Processing and Control. 66:102486
Landmark identification is crucial in quantifying cephalometric analysis. Manual tracing of landmarks is a tedious, laborious task and prone to human errors, thereby, necessitating a need to develop efficient automated methods for landmark identifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a8404483b9d2d5af13468793a1d7ebc
https://doi.org/10.1016/j.bspc.2021.102486
https://doi.org/10.1016/j.bspc.2021.102486