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acute-lymphoblastic-leukemia
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A novel method for segmentation of leukocyte nuclei based on color transformation
, Article 26th National and 4th International Iranian Conference on Biomedical Engineering, ICBME 2019, 27 November 2019 through 28 November 2019 ; 2019 , Pages 213-217 ; 9781728156637 (ISBN) ; Maheri, J ; Behroozi, H ; Kolahdoozi, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Acute lymphoblastic leukemia is one of the most common hematologic malignancies among children, caused by uncontrolled growth of leukocytes. Since the main hallmarks of the disease is not specific, a considerable number of patients have been being misdiagnosed. Early diagnosis of the disease is usually made by morphological investigation of leukocytes under microscope. In light of the facts that decrease in cytoplasm-to-nucleus ratio is one of the main indicators of cancerous cells, and an accurate segmentation phase will lead to extraction of representative features, segmentation step is acknowledged as being crucial in design of a computer aided diagnosis (CAD). Previous researches have...
The global burden of childhood and adolescent cancer in 2017: an analysis of the Global Burden of Disease Study 2017
, Article The Lancet Oncology ; Volume 20, Issue 9 , 2019 , Pages 1211-1225 ; 14702045 (ISSN) ; Abdollahpour, I ; Advani, S.M ; Agius, D ; Ahmadian, E ; Alahdab, F ; Alam, T ; Alebel, A ; Alipour, V ; Allen, C.A ; Almasi Hashiani, A ; Alvarez, E.M ; Amini, S ; Amoako, Y.A ; Anber, N.H ; Arabloo, J ; Artaman, A ; Atique, S ; Awasthi, A ; Bagherzadeh, M ; Basaleem, H ; Bekru, E.T ; Bijani, A ; Bogale, K.A ; Car, M ; Carvalho, F ; Castro, C ; Catalá-López, F ; Chu, D.-T ; Costa, V.M ; Darwish, A.H ; Demeke, F.M ; Demis, A.B ; Demoz, G.T ; Dharmaratne, S.D ; Do, H.P ; Doan, L.P ; Dubey, M ; Eftekhari, A ; El-Khatib, Z ; Emamian, M.H ; Abbasalizad Farhangi, M ; Fernandes, E ; Fischer, F ; Fouladi Fard, R ; Friedrich, P.M ; Fukumoto, T ; Gedefaw, G.A ; Ghashghaee, A ; Gholamian, A ; Haj-Mirzaian, A ; Haj-Mirzaian, A ; Hamidi, S ; Harvey, J.D ; Hassen, H.Y ; Hay, S.I ; Hoang, C.L ; Hole, M.K ; Horita, N ; Hosseini, S.N ; Hosseinzadeh, M ; Hsairi, M ; Hudson, M.M ; Innos, K ; Jalilian, F ; James, S.L ; Kasaeian, A ; Kassa, T.D ; Kassebaum, N.J ; Keiyoro, P.N ; Khader, Y.S ; Khubchandani, J ; Kianipour, N ; Kirby, J ; Kisa, A ; Kisa, S ; Kocarnik, J.M ; Lauriola, P ; Lopez, A.D ; Mägi, M ; Malik, M.A ; Manafi, A ; Manafi, N ; Mansournia, M.A ; Massenburg, B.B ; Mehta, V ; Meles, H.G ; Meretoja, T.J ; Mestrovic, T ; Mirzaei Alavijeh, M ; Mir, S.M ; Mohammad, D.K ; Darwesh, A.M ; Mezerji, N.M.G ; Mohammadibakhsh, R ; Mohammadoo Khorasani, M ; Mokdad, A.H ; Moodley, Y ; Moosazadeh, M ; Moossavi, M ; Moradpour, F ; Morrison, S.D ; Muchie, K.F ; Naghavi, M ; Nazari, J ; Ngunjiri, J.W ; Nguyen, C.T ; Nguyen, L.H ; Nguyen, S.H ; Nguyen, T.H ; Nixon, M.R ; Olagunju, A.T ; Olagunju, T.O ; Ong, S.K ; Paapsi, K ; Pennini, A ; Pereira, D.M ; Pillay, J.D ; Qorbani, M ; Rabiee, M ; Rabiee, N ; Raoofi, S ; Rawaf, D.L ; Rawaf, S ; Reiner, R.C ; Rezaei, N ; Rezapour, A ; Roba, K.T ; Robison, L.L ; Rodriguez Galindo, C ; Roshandel, G ; Safiri, S ; Salahshoor, M ; Salehi Zahabi, S ; Samy, A.M ; Santric Milicevic, M.M ; Satpathy, M ; Sawyer, S.M ; Seyedmousavi, S ; Shabaninejad, H ; Shaikh, M.A ; Shamshirian, A ; Shamsizadeh, M ; Shirkoohi, R ; Siabani, S ; Singh, J.A ; Siramlee, K ; Tabarés-Seisdedos, R ; Temsah, M.-H ; Tran, B.X ; Ullah, I ; Vahedian Azimi, A ; Vollset, S.E ; Vos, T ; Waheed, Y ; Weldesamuel, G.T ; Workie, H.M ; Xu, R ; Yaseri, M ; Yonemoto, N ; Yu, C ; Zadnik, V ; Zahirian Moghadam, T ; Zaidi, Z ; Zangeneh, A ; Zewale, T.A ; Ziapour, A ; Zodpey, S ; Murray, C.J.L ; Fitzmaurice, C ; Bhakta, N ; GBD 2017 Childhood Cancer Collaborators ; Sharif University of Technology
Lancet Publishing Group
2019
Abstract
Background: Accurate childhood cancer burden data are crucial for resource planning and health policy prioritisation. Model-based estimates are necessary because cancer surveillance data are scarce or non-existent in many countries. Although global incidence and mortality estimates are available, there are no previous analyses of the global burden of childhood cancer represented in disability-adjusted life-years (DALYs). Methods: Using the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 methodology, childhood (ages 0–19 years) cancer mortality was estimated by use of vital registration system data, verbal autopsy data, and population-based cancer registry incidence...