[1] [1] MILLER K D,ORTIZ A P,PINHEIRO P S,et al.Cancer statistics for the US Hispanic/Latino population, 2021[J].CA:A Cancer Journal for Clinicians,2021,71(6):466-487.

[3] [3] XIAO L,OUYANG H,FAN C.An improved Otsu method for threshold segmentation based on set mapping and trapezoid region intercept histogram[J].Optik,2019,196:163106.

[4] [4] NGUYEN N Q,LEE S W.Robust boundary segmentation in medical images using a consecutive deep encoder-decoder network[J].IEEE Access,2019,7(1):33795-33808.

[5] [5] LONG J,SHELHAMER E,DARRELL T.Fully convolutional networks for semantic segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,39(4):640-651.

[6] [6] RONNEBERGER O,FISCHER P,BROX T.U-net:Convolutional networks for biomedical image segmentation[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention,October 5-9,2015,Munich,Germany.Berlin:Springer,2015:234-241.

[7] [7] WOO S,PARK J,LEE J Y,et al.CBAM:Convolutional block attention module［C］//15th European Conference on Computer Vision,September 8-14,2018,Munich,Germany.Berlin:Springer,2018:3-19.

[9] [9] CHEN J,CHEN Y,LI W,et al.Channel and spatial attention based deep object co-segmentation[J].Knowledge-Based Systems,2021,211:106550.

[11] [11] ZHONG P,WANG D,MIAO C.An affect-rich neural conversational model with biased attention and weighted cross-entropy loss［C］//AAAI Conference on Artificial Intelligence,January 27-February 1,2019,Honolulu,Hawaii,USA.Palo Alto,California,USA:AAAI Press,2019,33(1): 7492-7500.

[12] [12] CAI Z,RAVICHANDRAN A,MAJI S,et al.Exponential moving average normalization for self-supervised and semi-supervised learning[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 20-25,2021,Nashville,TN,USA.New York:IEEE,2021:194-203.

[13] [13] FENG J,DENG J,LI Z,et al.End-to-end Res-Unet based reconstruction algorithm for photoacoustic imaging[J].Biomedical Optics Express,2020,11(9):5321-5340.

[14] [14] ZHOU Z,RAHMAN SIDDIQUEE M M,TAJBAKHSH N,et al.Unet++:A nested U-net architecture for medical image segmentation［C］//International Workshop on Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support,September 20,2018,Granada,Spain.Cham:Springer,2018:3-11.

[15] [15] HOU Y.Research on segmentation of MRI brain tumor image based on improved UNet3+［C］//International Conference on High Performance Computing and Communication (HPCCE 2021),December 3-5,2021,Guangzhou,China.Bellingham,Washington,USA:SPIE Press,2022,12162:242-247.