Enhanced prediction using deep neural network-based image classification

References

• Fan W, Wang K, Cayre F, et al. Median filtered image quality enhancement and anti-forensics via variational deconvolution. IEEE Trans Inf Forensics Secur. 2015;10(5):1076–1091.
   Web of Science ®Google Scholar
• Rode1 GD, Shandilya VK. Satellite image quality improvement using wavelet based enhancement method. Int J Adv Res Comput Commun Eng. 2016;5(5):907–910.
   Google Scholar
• Bhadouria VS, Tanase A, Schmid M, et al. A novel image impulse noise removal algorithm optimized for hardware accelerators. J Signal Process Syst. 2017;89(2):225–242.
   Web of Science ®Google Scholar
• Chen Y, Lin Z, Zhao X, et al. Deep learning-based classification of hyperspectral data. IEEE J Sel Topics Appl Earth Observ Remote Sens. Jun. 2014;7(6):2094–2107.
   Web of Science ®Google Scholar
• Chaib S, Liu H, Gu Y, et al. Deep feature fusion for VHR remote sensing scene classification. IEEE Trans Geosci Remote Sens. Aug. 2017;55(8):4775–4784.
   Web of Science ®Google Scholar
• Subbiah Parvathy V, Pothiraj S, Sampson J. Optimal deep neural network model based multimodality fused medical image classification. Phy Commun. 2020;41:101119. doi:10.1016/j.phycom.2020.101119.
   Web of Science ®Google Scholar
• Cheng J, Huang W, Cao S, et al. Correction: enhanced performance of brain tumor classification via tumor region augmentation and partition. PLOS ONE. 2015;10(12):e0144479.
   PubMed Web of Science ®Google Scholar
• Pereira S, Pinto A, Alves V, et al. Brain tumor segmentation using convolutional neural networks in MRI images. IEEE Trans Med Imaging. May 2016;35(5):1240–1251. doi:10.1109/TMI.2016.2538465.
   PubMed Web of Science ®Google Scholar
• Liya Zhao K. Multiscale CNNs for brain tumor segmentation and diagnosis. Comput Math Methods Med. 2016;2016:7. Article ID 8356294.
   Web of Science ®Google Scholar
• Kermany DS, Goldbaum M, Cai W, et al. Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell. 2018;172(5):1122–1131.
   PubMed Web of Science ®Google Scholar
• Shin H-C, Roth HR, Gao M, et al. Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning. IEEE Trans Med Imaging. 2016;35(5):1285–1298.
   PubMed Web of Science ®Google Scholar
• Yadav SS, Jadhav SM. Deep convolutional neural network based medical image classification for disease diagnosis. J Big Data. 2019;6(113).
   PubMedGoogle Scholar
• Demir F, Akbulut Y, Taşcı B, et al. Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data. Biomed Signal Process Control. 2023;81:104424. ISSN 1746-8094.
   Web of Science ®Google Scholar
• Mehnatkesh H, Jalali SMJ, Khosravi A, et al. An intelligent driven deep residual learning framework for brain tumor classification using MRI images. Expert Syst Appl. 2023;213(Part C):119087. ISSN 0957-4174.
   Google Scholar
• Agrawal P, Katal N, Hooda N. Segmentation and classification of brain tumor using 3D-UNet deep neural networks. Int J Cognitive Comput Eng. 2022;3:199–210. ISSN 2666-3074.
   Google Scholar
• Shanthi S, Saradha S, Smitha JA, et al. An efficient automatic brain tumor classification using optimized hybrid deep neural network. Int J Intell Networks. 2022;3:188–196.
   Google Scholar
• Tang C, Li B, Sun J, et al. GAM-SpCaNet: gradient awareness minimization-based spinal convolution attention network for brain tumor classification. J King Saud Uni Comput Inf Sci. 2023. DOI:10.1016/j.jksuci.2023.01.002
   PubMedGoogle Scholar
• Vankdothu R, Hameed MA. Brain tumor MRI images identification and classification based on the recurrent convolutional neural network. Meas Sens. 2022;24:100412. ISSN 2665-9174.
   Google Scholar
• Neelima G, Chigurukota DR, Maram B, et al. Optimal DeepMRSeg based tumor segmentation with GAN for brain tumor classification. Biomed Signal Process Control. 2022;74:103537. ISSN 1746-8094.
   Web of Science ®Google Scholar
• Bidkar PS, Kumar R, Ghosh A. Segnet and salp water optimization-driven deep belief network for segmentation and classification of brain tumor. Gene Expression Patterns. 2022;45:119248. ISSN 1567-133X.
   PubMed Web of Science ®Google Scholar
• Aamir M, Rahman Z, Dayo ZA, et al. A deep learning approach for brain tumor classification using MRI images. Comput Electr Eng. 2022;101:108105. ISSN 0045-7906.
   Web of Science ®Google Scholar
• Hong D, Gao L, Yokoya N, et al. More diverse means better: multimodal deep learning meets remote-sensing imagery classification. IEEE Trans Geosci Remote Sens. 2021;59(5):4340–4354.
   Web of Science ®Google Scholar
• Irfan M, Iftikhar MA, Yasin S, et al. Role of hybrid deep neural networks (HDNNS): computed tomography, and chest X-rays for the detection of COVID-19. Int J Environ Res Public Health. 2021;18(6):3056. doi:10.3390/ijerph18063056.
   PubMed Web of Science ®Google Scholar
• Almalki YE, Qayyum A, Irfan M, et al. A novel method for COVID-19 diagnosis using artificial intelligence in chest X-ray images. Healthcare. 2021;9(5):522.
   Web of Science ®Google Scholar
• Wu X, Hong D, Chanussot J. UIU-net: U-net in U-net for infrared small object detection. IEEE Trans Image Process. 2023;32:364–376.
   Web of Science ®Google Scholar
• Hong D, Gao L, Yao J, et al. Graph convolutional networks for hyperspectral image classification. IEEE Trans Geosci Remote Sens. 2021;59(7):5966–5978. doi:10.1109/tgrs.2020.3015157.
   Web of Science ®Google Scholar
• Song W, Li S, Fang L, et al. Hyperspectral image classification with deep feature fusion network. IEEE Trans Geo Sci Remote Sens. 2018;56(6):3173–3184.
   Web of Science ®Google Scholar
• Sirinukunwattana K, Ahmed Raza SE, Tsang Y-W, et al. Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images. IEEE Trans Med Imaging. 2016;35(5):1196–1206.
   PubMed Web of Science ®Google Scholar